Citing PomBase

Also see the Terms of Use and the complete list of papers published by PomBase.

To cite anything from PomBase, including

  • S. pombe genome sequence and feature annotation
  • Curated data (GO, phenotypes, modifications, gene expression, etc.)
  • GO or disease slim sets
  • Tools (advanced search, motif search, QuiLT, etc.)

please use:

Harris MA, Rutherford KM, Hayles J, Lock A, Bähler J, Oliver S, Mata J, Wood V
Fission stories: Using PomBase to understand Schizosaccharomyces pombe biology
Genetics, 2021; iyab222

PMID:35100366 10.1093/genetics/iyab222

Genome Sequence

To cite the S. pombe genome sequence, use:

Wood V, Gwilliam R, Rajandream MA, Lyne M, Lyne R, Stewart A, Sgouros J, Peat N, Hayles J, Baker S, et al.
The genome sequence of Schizosaccharomyces pombe.
Nature. 2002 Feb 21;415(6874):871-80. Erratum in: Nature 2003 Jan 2;421(6918):94. Cerrutti L [corrected to Cerutti L].

PMID:11859360 - Full text at Nature

GO Annotations

To cite the S. pombe Gene Ontology annotation data, use two papers from the 2018 NAR Database Issue:

  1. The PomBase paper noted above
  2. The GO Consortium paper:

The Gene Ontology Consortium.
The Gene Ontology Resource: 20 years and still GOing strong.
Nucleic Acids Res. 2018 (Database issue): gky1055 Epub 2018 Nov 5.

PMID:30395331 - DOI:10.1093/nar/gky1055

(Note that GO annotation for S. pombe has also been previously published, but we now recommend the 2018 NAR paper as it is more up-to-date. The older publication is Aslett M, Wood V. Gene Ontology annotation status of the fission yeast genome: preliminary coverage approaches 100%. Yeast 2006 Oct 15;23(13):913-9. Erratum in Yeast 2007 May;24(5):457. PMID:17072883)

Phenotype Ontology and Annotations

To cite the Fission Yeast Phenotype Ontology (FYPO) and/or S. pombe FYPO annotation data, use:

Harris MA, Lock A, Bähler J, Oliver SG, Wood V.
FYPO: The Fission Yeast Phenotype Ontology.
Bioinformatics. 2013 Jul 1;29(13):1671-8. Epub 2013 May 8.

PMID:23658422 - DOI:10.1093/bioinformatics/btt266.

Full text at Bioinformatics: HTML or PDF

Canto

To cite the online curaton tool Canto, use:

Rutherford KM, Harris MA, Lock A, Oliver SG, Wood V.
Canto: An online tool for community literature curation.
Bioinformatics. 2014 Jun 15;30(12):1791-2. Epub 2014 Feb 25.

PMID:24574118 - DOI: 10.1093/bioinformatics/btu103

Manually Curated Orthologs

To cite the manually curated S. cerevisiae or human orthologs (displayed on gene pages or downloaded), use the NAR database paper as noted above. Note that the manually curated orthologs use several data sources including Compara, but are distinct from the Compara results themselves.

Wood V, Harris MA, McDowall MD, Rutherford K, Vaughan BW, Staines DM, Aslett M, Lock A, Bähler J, Kersey PJ, Oliver SG.
PomBase: a comprehensive online resource for fission yeast.
Nucleic Acids Res. 2012 Jan;40(Database issue):D695-9. Epub 2011 Oct 28.

PMID:22039153 - DOI: 10.1093/nar/gkr853 - Full text at NAR

Altmetric badges link to data provided by Altmetric.com, a research metrics company who track and collect the online conversations around millions of scholarly outputs. Read more about Altmetrics.

PomBase collaborations

  • Monarch is a platform that connects phenotypes to environmental factors and genotypes, integrating phenotypes from multiple species to make them queryable in a single portal, and use the combined knowledge to better understand human disease. We are currently in the process of integrating our phenotype data into Monarch.

  • Mondo is a disease ontology developed as part of the Monarch initiative. It aims to merge multiple disease ontologies and develop guidelines for disease logical definitions, which are computer-readable. We actively contribute to the development of this ontology, and link fission yeast genes with Mondo terms.

  • uPheno is another component of the Monarch Initiative with the goal of integrating multiple phenotype ontologies into a unified cross-species phenotype ontology to make them interoperable. This interoperability is achieved by developing templates for phenotype logical definitions. We interact with uPheno developers to develop and implement standardised definition templates into FYPO .

  • Pfam and InterPro are protein family databases. We have been collaborating with the Pfam and InterPro teams at the EBI for almost two decades, submitting over 1000 protein families via Pfam and providing QC for InterPro to GO mapping assignments. Recently, to increase ortholog coverage, we collaborated with the Pfam team to identify distant orthologs using AlphaFold reciprocal best structure hits. See this preprint.

  • Intermine is a data warehouse that integrates heterogeneous data from different model organisms. Users can simultaneously query data from Schizosaccharomyces pombe and other organisms through a website, a web API or client libraries in several programming languages. We have actively collaborated with InterMine to integrate data from PomBase into a ‘PombeMine’ and to improve PombeMine to better support our users. Read more.

  • The Gene Ontology Consortium oversees the development of GO, to standardise the functional description of gene products. PomBase is a member of the GO consortium. PomBase Co-PI and project manager Valerie Wood is a member of the GO council, and funded to work on GO development as PI of a GO subcontract. Our curators actively contribute to GO development requesting changes and additions to the ontology. We also participate in other GO-related projects, for example:

    • The Term Matrix annotation QC project, a framework to develop rules to identify potentially incorrect GO annotations by identifying genes annotated to two biological processes unlikely to be co-annotated to the same gene products.
    • Revision of the Gene Ontology terms of chromatin-related processes to improve the GO representation of chromatin and epigenetics curation, since fission yeast is a major model species for this research field.
  • PHI-base is a pathogen-host interaction database. PomBase supports PHI-base by adapting Canto (our community curation tool) for their curation and advising on phenotype ontology and literature curation.

  • FlyBase is a model organism for Drosophila. PomBase supports FlyBase by adapting Canto (our community curation tool) for their complex phenotype annotation.

  • RNAcentral is a non-coding RNA sequence database. As part of our data dissemination obligations, along with other model organism databases, we provide curated non-coding RNAs to RNA Central. We also collaborate to improve noncoding RNA classification.

  • BioGRID is a database for genetic and physical interactions. They curate interactions from publications that are integrated into PomBase, and vice-versa, to avoid duplication of curation effort. This is part of our data-dissemination obligations.

  • microPublication is a peer-reviewed journal that publishes one-figure papers with novel findings, negative or reproduced results, and results that may lack a broader scientific narrative. We are a partner database and provide curator input and promote articles on our website. This novel format incentivises reporting small and negative results, preventing research duplication and waste of research funding.

  • JaponicusDB is the model organism database for the fission yeast Schizosaccharomyces japonicus, an emerging model organism. JaponicusDB uses PomBase’s website code and its curation is entirely provided by the authors using Canto. This database was set up in a sprint of less than three months, and is a success story that shows that PomBase code and curation tools are reusable. Read more.

  • Valerie de Crecy-Lagard recently organised a workshop funded by NSF to devise a roadmap for the functional annotation of protein families. PomBase staff participated in the discussion (publication pending).

  • Genestorian is a project that aims to develop: (1) Open standards to document the generation of plasmids and strains in a machine-readable format, with an emphasis on interoperability, adhering to FAIR principles. (2) Easy to use web tools for experimental researchers to document strain and plasmid generation in their collections by leveraging those open standards.

What are cookies?

We will not use cookies to collect personally identifiable information about you.

A cookie is a file that is stored on your computer when you visit a website. Most websites use them and they are generally harmless. When you revisit the website later or visit a different webpage a copy of the cookie file is sent to the website.

Cookies can be used to store information and have many uses. With the most common being tracking, remembering your details or settings, and to keep you logged in to an account.

You may refuse to accept cookies by activating the setting on your browser which allows you to refuse the setting of cookies. However, if you select this setting you may be unable to access certain parts of our site. Unless you have adjusted your browser setting so that it will refuse cookies, our system will issue cookies when you visit our site.

You can find out more information about cookies from the following websites:

How we use cookies

Like most interactive websites our site uses cookies to enable us to retrieve user details for each visit. These pieces of information are used to improve services for you, for example, by:

  • measuring how many people are using our website, so they can be made easier to use and to ensure there is enough capacity

  • analysing anonymised data to help us understand how people interact with our website so we can make it better.

The cookies we use

This website contains links to and from third-party sites. This policy only covers use of cookies on this site. You should consult privacy and cookie policies on third-party sites before you submit any personal data. PomBase is not responsible for any cookies that may be set by third-party websites that are linked to from pages on www.pombase.org.

Table of cookies we use on our site:

Name Description More information
Canto_pombe__session Cookie set by Canto PomBase privacy policy
_ga
_gali
_gid
_gat
_gat_jbrowseTracker
__utma
__utmb
__utmc
__utmt
__utmz
Cookies used by Google Analytics, which we use to measure website usage Google’s privacy policy and Google Analytics Cookie descriptions

Strictly Necessary Cookies

These cookies are essential to enable you to move around the website and use its features, such as accessing secure areas of the website. Without these cookies, our website won’t work properly.

Performance Cookies

These cookies collect information about how you use our website, for instance, which pages you visit most often and if you get any error messages from those pages. Google Analytics sets cookies to help us accurately estimate the number of visitors to the website and volumes of usage. This is to ensure that we provide a fast service that is available when you want it.

Social media cookies

PomBase has accounts or pages with external resources including Twitter (@PomBase), Facebook (www.facebook.com/pombase), LinkedIn (www.linkedin.com/groups/5122686), and GitHub (github.com/pombase). All use cookie technology, and maintain their own privacy policies.

If you notice a cookie that slips past us or have a question about cookies then please contact us.

How can I disable or block cookies?

You may refuse to accept cookies by activating the setting on your browser which allows you to refuse the setting of cookies. However, if you select this setting you may be unable to access certain parts of our site. Unless you have adjusted your browser setting so that it will refuse cookies, our system will issue cookies when you visit our site. We recommend visiting your browser help section to find out more about managing cookies.

Do not track me!

Do not track is a relatively new feature in web browsers which allows you to tell websites that you do not want to be tracked. While not all websites currently use this, you can find out more how to set it up on your browser from the following websites:

PomBase Data Sources

Also see the Terms of Use.

Research spotlight images

For images used on the home page, see the Research Spotlight archive and links therein.

Genome browser data tracks

These publications describe datasets displayed as genome browser tracks. Each PubMed ID links to the PomBase publication page for the paper, which in turn links to PubMed and EuropePMC. Full text and repository database links will be available via PubMed and EuropePMC where relevant.

  • Atkinson SR, Marguerat S, Bitton DA, Rodríguez-López M, Rallis C, Lemay JF, Cotobal C, Malecki M, Smialowski P, Mata J, Korber P, Bachand F, Bähler J.
    Long noncoding RNA repertoire and targeting by nuclear exosome, cytoplasmic exonuclease, and RNAi in fission yeast.
    RNA 2018 Sep;24(9):1195-1213. PMID:29914874
  • Bitton DA, Rallis C, Jeffares DC, Smith GC, Chen YY, Codlin S, Marguerat S, Bähler J.
    Genome Res. 2014 Jul;24(7):1169-79.
    PMID:24709818
  • Eser P, Wachutka L, Maier KC, Demel C, Boroni M, Iyer S, Cramer P, Gagneur J.
    Determinants of RNA metabolism in the Schizosaccharomyces pombe genome.
    Mol. Syst. Biol. 2016 Feb 16;12(2):857. PMID:26883383
  • Fowler KR, Gutiérrez-Velasco S, Martín-Castellanos C, Smith GR.
    Protein determinants of meiotic DNA break hot spots.
    Mol. Cell. 2013 Mar 7;49(5):983-96. PMID:23395004
  • Garg A, Futcher B, Leatherwood J.
    A new transcription factor for mitosis: in Schizosaccharomyces pombe, the RFX transcription factor Sak1 works with forkhead factors to regulate mitotic expression.
    Nucleic Acids Res. 2015 Aug 18;43(14):6874-88. PMID:25908789
  • González S, García A, Vázquez E, Serrano R, Sánchez M, Quintales L, Antequera F.
    Nucleosomal signatures impose nucleosome positioning in coding and noncoding sequences in the genome.
    Genome Res. 2016 Nov;26(11):1532-1543. PMID:27662899
  • Grech L, Jeffares DC, Sadée CY, Rodríguez-López M, Bitton DA, Hoti M, Biagosch C, Aravani D, Speekenbrink M, Illingworth CJR, Schiffer PH, Pidoux AL, Tong P, Tallada VA, Allshire R, Levin HL, Bähler J.
    Fitness Landscape of the Fission Yeast Genome.
    Mol. Biol. Evol. 2019 Aug 1;36(8):1612-1623. PMID:31077324
  • Hayashi M, Katou Y, Itoh T, Tazumi A, Yamada Y, Takahashi T, Nakagawa T, Shirahige K, Masukata H.
    Genome-wide localization of pre-RC sites and identification of replication origins in fission yeast.
    EMBO J. 2007 Mar 7;26(5):1327-39. PMID:17304213
  • Jeffares DC, Rallis C, Rieux A, Speed D, Převorovský M, Mourier T, Marsellach FX, Iqbal Z, Lau W, Cheng TM, Pracana R, Mülleder M, Lawson JL, Chessel A, Bala S, Hellenthal G, O’Fallon B, Keane T, Simpson JT, Bischof L, Tomiczek B, Bitton DA, Sideri T, Codlin S, Hellberg JE, van Trigt L, Jeffery L, Li JJ, Atkinson S, Thodberg M, Febrer M, McLay K, Drou N, Brown W, Hayles J, Carazo Salas RE, Ralser M, Maniatis N, Balding DJ, Balloux F, Durbin R, Bähler J.
    Nat. Genet. 2015 Mar;47(3):235-41
    PMID:25665008
  • Lee SY, Hung S, Esnault C, Pathak R, Johnson KR, Bankole O, Yamashita A, Zhang H, Levin HL.
    Dense Transposon Integration Reveals Essential Cleavage and Polyadenylation Factors Promote Heterochromatin Formation.
    Cell Rep. 2020 Feb 25;30(8):2686-2698.e8. PMID:32101745
  • Lemay JF, Larochelle M, Marguerat S, Atkinson S, Bähler J, Bachand F.
    The RNA exosome promotes transcription termination of backtracked RNA polymerase II.
    Nat. Struct. Mol. Biol. 2014 Oct;21(10):919-26. PMID:25240800
  • Lemieux C, Marguerat S, Lafontaine J, Barbezier N, Bähler J, Bachand F.
    A Pre-mRNA degradation pathway that selectively targets intron-containing genes requires the nuclear poly(A)-binding protein.
    Mol. Cell 2011 Oct 7;44(1):108-19. PMID:21981922
  • Li H, Hou J, Bai L, Hu C, Tong P, Kang Y, Zhao X, Shao Z.
    Genome-wide analysis of core promoter structures in Schizosaccharomyces pombe with DeepCAGE.
    RNA Biol. 2015 ;12(5):525-37. PMID:25747261
  • Marguerat S, Schmidt A, Codlin S, Chen W, Aebersold R, Bähler J.
    Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.
    Cell 2012 Oct 26;151(3):671-83. PMID:23101633
  • Mata J.
    Genome-wide mapping of polyadenylation sites in fission yeast reveals widespread alternative polyadenylation.
    RNA Biol. 2013 Aug;10(8):1407-14. PMID:23900342
  • McDowall MD, Harris MA, Lock A, Rutherford K, Staines DM, Bähler J, Kersey PJ, Oliver SG, Wood V.
    PomBase 2015: updates to the fission yeast database.
    Nucleic Acids Res. 2015 Jan;43(Database issue):D656-61. PMID:25361970
  • Mickle KL, Ramanathan S, Rosebrock A, Oliva A, Chaudari A, Yompakdee C, Scott D, Leatherwood J, Huberman JA.
    Checkpoint independence of most DNA replication origins in fission yeast.
    BMC Mol. Biol. 2007 Dec 19;8:112. PMID:18093330
  • Rhind N, Chen Z, Yassour M, Thompson DA, Haas BJ, Habib N, Wapinski I, Roy S, Lin MF, Heiman DI, Young SK, Furuya K, Guo Y, Pidoux A, Chen HM, Robbertse B, Goldberg JM, Aoki K, Bayne EH, Berlin AM, Desjardins CA, Dobbs E, Dukaj L, Fan L, FitzGerald MG, French C, Gujja S, Hansen K, Keifenheim D, Levin JZ, Mosher RA, Müller CA, Pfiffner J, Priest M, Russ C, Smialowska A, Swoboda P, Sykes SM, Vaughn M, Vengrova S, Yoder R, Zeng Q, Allshire R, Baulcombe D, Birren BW, Brown W, Ekwall K, Kellis M, Leatherwood J, Levin H, Margalit H, Martienssen R, Nieduszynski CA, Spatafora JW, Friedman N, Dalgaard JZ, Baumann P, Niki H, Regev A, Nusbaum C.
    Science 2011 May 20;332(6032):930-6
    PMID:21511999
  • Schlackow M, Marguerat S, Proudfoot NJ, Bähler J, Erban R, Gullerova M.
    RNA 2013 Dec;19(12):1617-31
    PMID:24152550
  • Segurado M, de Luis A, Antequera F.
    Genome-wide distribution of DNA replication origins at A+T-rich islands in Schizosaccharomyces pombe.
    EMBO Rep. 2003 Nov;4(11):1048-53. PMID:14566325
  • Soriano I, Quintales L, Antequera F.
    BMC Genomics 2013 Nov 21;14:813
    PMID:24256300
  • Thodberg M, Thieffry A, Bornholdt J, Boyd M, Holmberg C, Azad A, Workman CT, Chen Y, Ekwall K, Nielsen O, Sandelin A.
    Comprehensive profiling of the fission yeast transcription start site activity during stress and media response.
    Nucleic Acids Res. 2019 Feb 28;47(4):1671-1691. PMID:30566651
  • Tsuyuzaki H, Hosokawa M, Arikawa K, Yoda T, Okada N, Takeyama H, Sato M.
    Time-lapse single-cell transcriptomics reveals modulation of histone H3 for dormancy breaking in fission yeast.
    Nat. Commun. 2020 Mar 9;11(1):1265. PMID:32152323
  • Wilhelm BT, Marguerat S, Watt S, Schubert F, Wood V, Goodhead I, Penkett CJ, Rogers J, Bähler J.
    Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution.
    Nature. 2008 Jun 26;453(7199):1239-43. PMID:18488015
  • Wood V *et al.
    The genome sequence of Schizosaccharomyces pombe. Nature.
    2002 Feb 21;415(6874):871-80. PMID:11859360
  • Woolcock KJ, Gaidatzis D, Punga T, Bühler M.
    Nat. Struct. Mol. Biol. 2011 Jan;18(1):94-9
    PMID:21151114
  • Xu J, Yanagisawa Y, Tsankov AM, Hart C, Aoki K, Kommajosyula N, Steinmann KE, Bochicchio J, Russ C, Regev A, Rando OJ, Nusbaum C, Niki H, Milos P, Weng Z, Rhind N.
    Genome Biol. 2012 Apr 24;13(4):R27
    PMID:22531001
  • Yadav MP, Padmanabhan S, Tripathi VP, Mishra RK, Dubey DD.
    Analysis of stress-induced duplex destabilization (SIDD) properties of replication origins, genes and intergenes in the fission yeast, Schizosaccharomyces pombe.
    *BMC Res. Notes. 2012 Nov 19;5:643. PMID:23163955

Ontology versions

About PomBase

PomBase is the comprehensive model organism knowledgebase for the fission yeast Schizosaccharomyces pombe, which aims to standardise, integrate, display, and disseminate biological knowledge and datasets to the wider scientific community, making a wide range of data-types from large and small-scale publications FAIR.

You can use PomBase to:

  • Access and query manually curated literature annotations:
    • Gene Ontology (GO) annotations describing the normal (evolved) roles and locations of gene products.
    • Phenotype annotations linked to the alleles and genotypes that cause them.
    • Genetic and Physical interactions between genes.
    • Protein modifications, the gene products that add/ remove them, when in the cell cycle they occur or under which environmental conditions, .
    • Phylogenetic information and gene complementation.
  • Browse the genome of Schizosaccharomyces pombe, and access gene sequences and features (UTRs, exons and introns, protein sequence features).
  • Download genome-wide datasets.

PomBase is also a community hub for researchers providing news, events, documentation, mailing lists, genome statistics, and a community curation interface. New to the fission yeast community? Visit our getting started page.

More about PomBase:

  • PomBase promotes community curation, involving authors in the curation of their published research. This increases curation quality, and allows researchers to become familiar with the data organisation and supported data types. We developed Canto, a web-based curation tool to support professional and community curation that is also used by FlyBase, PHI-Base and JaponicusDB. Read more about community curation.
  • We provide over 300.000 curated standardised annotations and our 27.000 experimentally supported GO annotations support more than 687.000 species-wide annotations in other key model species. See our stats
  • We actively participate in the development of several ontologies to extend and improve standards that represent the knowledge produced by researchers.
  • See all of our ongoing collaborations and projects.

Contact PomBase staff

Email: helpdesk@pombase.org

For more information, see the PomBase Staff page.

Submit Data

See the Submit data page

Data sources

Source publications for external data used in PomBase pages and genome browser.

Data sources


Citing PomBase

The Citing PomBase page lists papers to cite for PomBase, the S. pombe genome sequence, annotation data, and other resources.

Terms of Use

Terms of Use for PomBase data and Canto.

PomBase Publications

Complete list of papers published by PomBase.


PomBase SAB

Scientific Advisory Board members


PomBase staff

Current and past PomBase Staff


Data versions

Versions of internal and external data loaded into current and past PomBase releases.

Version history

Receive project updates

Subscribe to Pombelist to receive annotation and data updates


Privacy

See the PomBase privacy policy and cookie policy.


Project funding

PomBase is funded by the Wellcome Trust [218236/Z/19/Z].

New, improved PomBase

The new PomBase web site was released on October 24, 2017.

The new site uses streamlined back-end data storage and retrieval procedures that support nightly data updates and a host of other improvements:

  • New publication pages: For each publication loaded into PomBase, a page summarizes essential details about paper, and shows any annotations that cite it.
    Example page (PMID:27984725) and Documentation
  • New genotype pages: Genotype pages are analogous to gene pages, but describe the alleles that make up a genotype, and show phenotypes associated with the genotype.
    Example page (cdc25-22) and Documentation
  • Improved ontology term pages: Each ontology term page now includes annotation details for annotated genes (or genotypes, for FYPO), with summary and detailed views. The detailed views show descendant terms with ontology relations, and distinguish annotations to more or less specific terms.
    Example page (GO:0000070) and Documentation
  • Improved summary views for annotation displays: On gene, genotype, term, and publication pages, the summary view is now non-redundant. See the gene page documentation, example pages above, and an example gene page (wee1) for more information.
  • Phenotype annotation display filtering: The FYPO display on gene, genotype, and publication can be filtered to show annotation subsets based on broad phenotypic categories. See the gene page pheontype documentation and the example pages above for more information.
  • Faster querying in the advanced search
  • Front page research and community curation highlights

We thank the members of the fission yeast research community who have followed its progress via the preview site, and welcome feedback from all users.

PomBase Scientific Advisory Board

The PomBase Scientific Advisory Board (SAB) provides strategic scientific advice to the PomBase resource covering current and future priorities related to curation, tools provided and outreach. They will advise how can we better align S. pombe knowledge to human genetics and health. The SAB is an independent body, made up of leading experts in both fission yeast biology and Model Organism Databases from around the world. The SAB meets annually, but are also the first point of contact for intermittent feedback on resource reallocation that may affect the wider community.

SAB Meeting reports

Current members

Li-Lin Du
National Institute of Biological Sciences, Beijing, China

Kathleen Gould
Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA

Doug Howe
The Zebrafish Information Network, University of Oregon, Eugene, OR, USA

Sabina Leonelli
Exeter Centre for the Study of the Life Sciences & Department of Sociology, Philosophy and Anthropology, University of Exeter, Exeter, UK

Samuel Marguerat
UCL Cancer Institute, London, UK

Sophie Martin
Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland

Fission yeast gene naming committee

Contact us

Email: helpdesk@pombase.org

Post:

PomBase
Department of Biochemistry
University of Cambridge
80 Tennis Court Road
Cambridge
CB2 1GA
United Kingdom

University of Cambridge

  • Val Wood (Curator & co-PI)
  • Kim Rutherford (Programmer)
  • Juan Mata (PI)

University College London

  • Manuel Lera Ramírez (Curator)
  • Jürg Bähler (co-PI)

PomBase Alumni

  • Antonia Lock (Curator, UCL)
  • Midori Harris (Curator, Cambridge)
  • Steve Oliver (PI, Cambridge)

PomBase Privacy Policy

PomBase (we or us) is committed to protecting and respecting your privacy.

This policy (together with our Cookie Policy, Terms of Use and any other documents referred to) sets out the basis on which any personal data we collect from you, or that you provide to us, will be processed by us. Please read the following carefully to understand our views and practices regarding your personal data and how we will treat it.

For the purpose of the General Data Protection Regulation (GDPR), PomBase is the data controller. To contact us, email helpdesk@pombase.org or see the About PomBase page for address details.

Information we may collect from you

Through our website (www.pombase.org), we may collect and process the following data about you:

  • Information that you provide by filling in forms on our website. This includes information provided when submitting data, including Canto curation, or when reporting a problem or contacting PomBase staff for any other purpose.
  • If you contact us, we may keep a record of that correspondence.
  • We may also ask you to complete surveys to help us improve our services, although you do not have to respond to them.
  • When you browse the website, we collect details of your visits to our site including, but not limited to, traffic data, location data, weblogs and other communication data, as well as the resources that you access.
  • Cookies and analytics information that make our site easier to use and allow us to continue to improve our website. (Read our Cookie policy).

We may also access information from other sources when you interact with PomBase online:

  • We can collect information about your interests and browsing behaviour from Google Analytics.

How we use personal information

We use information held about you in the following ways:

  • To respond to your enquiries and keep a record of our communications with you
  • To ensure that content from our site is presented in the most effective manner for you and for your computer
  • To provide you with information, events or services that you request from us or which we feel may interest you, where you have consented to be contacted for such purposes
  • To allow you to participate in interactive features of our service, when you choose to do so
  • To notify you about changes to our site
  • To send you updates, information and newsletters if you request them

Collecting and using personal data

you are consenting to PomBase storing and using it for the purposes for which it was provided. We will not use your personal information to contact you unless you have specifically requested to receive information from us.

We will hold your personal data for no longer than necessary for the purposes explained in this document.

Reasons we can collect and use your personal information

We rely on Article 6(1)(f) of the GDPR as the lawful basis on which we collect and use your personal data. That means that we can collect and use your personal data on the basis that it is necessary for the purposes of our legitimate interests, except where our interests are overridden by your privacy interests.

Our legitimate interests are maintaining our data resources, providing data and services to our users, and raising awareness of PomBase and fission yeast research online, in print, and in person.

Disclosure of your information

We may disclose your personal information to the PomBase collaboration’s member institutions (University of Cambridge, University College London, the Babraham Institute) as necessary for the purposes of our legitimate interests as given above.

We may also disclose your personal information to third parties if we are under a duty to disclose or share your personal data in order to comply with any legal obligation, or in order to enforce or apply our Terms of use and other agreements; or to protect the rights, property, or safety of our member institutions or others.

Our site may, from time to time, contain links to and from the websites of other online biological databases and similar resources. If you follow a link to any of these websites, please note that these websites have their own privacy policies and that we do not accept any responsibility or liability for these policies. Please check these policies before you submit any personal data to these websites.

We will not share your personal information with any other third party.

Your rights

Under the General Data Protection Regulation you have a number of important rights free of charge. In summary, those include rights to:

  • fair processing of information and transparency over how we use your use personal information
  • access to your personal information and to certain other supplementary information that this Privacy Notice is already designed to address
  • require us to correct any mistakes in your information which we hold
  • require the erasure of personal information concerning you in certain situations
  • receive the personal information concerning you which you have provided to us, in a structured, commonly used and machine-readable format and have the right to transmit those data to a third party in certain situations
  • object at any time to processing of personal information concerning you for direct marketing
  • object to decisions being taken by automated means which produce legal effects concerning you or similarly significantly affect you
  • object in certain other situations to our continued processing of your personal information
  • otherwise restrict our processing of your personal information in certain circumstances

For further information on each of those rights, including the circumstances in which they apply, see the Guidance from the UK Information Commissioner’s Office (ICO) on individuals’ rights under the General Data Protection Regulation.

If you would like to exercise any of those rights, please contact us (see below).

Challenging our use of personal data

We hope that we can resolve any query or concern you raise about our use of your information.

The General Data Protection Regulation gives you right to lodge a complaint with a supervisory authority, in particular in the European Union (or European Economic Area) state where you work, normally live or where any alleged infringement of data protection laws occurred. The supervisory authority in the UK is the Information Commissioner, who may be contacted at ico.org.uk/concerns.

Changes to our privacy policy

This privacy notice was published on 20 September 2018.

We may change this privacy notice from time to time. You should check this policy occasionally to ensure you are aware of the most recent version.

Contact us

For any further enquiries about the PomBase’s Privacy Policy, or if you have concerns about how your data is being processed or would like to report a possible data breach, please contact helpdesk@pombase.org.

PomBase ongoing projects

In addition to adding value to data through the curation process, at PomBase we also contribute to the broader curation life cycle by working with other resources to develop, adopt and promote curation best practices. In this role, we contribute to the development of global standards, improve data dissemination, develop rigorous annotation quality control procedures, and share the tools and resources we have developed.

  • Database and website development: we develop the Open Source code for this website and the underlying database, constantly improving it so that researchers can quickly and intuitively interrogate our annotations. The code is modular, easily configurable and extendable to support other model organisms (see PMID:35380656). Visit our code repository and publications PMID:30321395, PMID:35100366.

  • High quality literature curation: we manually curate papers, request or create new ontology terms for new observations, and actively work to quality control and improve our existing annotations. We involve authors in this process to ensure curation quality. Curation is particularly important to “FAIRify” and maximise the impact of results coming from small-scale publications that address mechanistic details, as it integrates the new knowledge into a greater body of annotations that can be queried, reused and more easily discovered. We have more than 300.000 manually curated annotations. See our curation stats.

  • Ontology development: we contribute to the development of several ontologies, to extend and improve standards that represent the knowledge produced by researchers. We are the sole developers of FYPO, the Fission Yeast Phenotype Ontology, but we are also major contributors to the Gene Ontology and contribute substantially to the Monarch disease ontology (MONDO). We contribute to the sequence ontology, Protein Ontology (PR) and CHEBI ontology as required for our annotation and ontology development work.

  • Development of Canto: Canto is an Open Source web-based curation tool that provides an intuitive interface for ontology-based literature curation, and a literature management system where publications are triaged by broad content type and classified by their curation stage. Canto is generic and extendable, and is used by other model organism databases (including FlyBase, PHI-base, japonicusDB) . Canto is actively developed and adapted to the needs of different resources and researchers. See “Community curation” below, our code repository and PMID:24574118.

  • Community curation: PomBase involves authors in the curation of their papers, in a way that, without dedicated training, they can contribute detailed and structured annotations. Community curation is supported by our web-based curation tool, Canto, which allows for an iterative dialogue with authors that speeds up the curation process, improves annotation quality through expert approval, makes authors more familiar with the curation process and supported data-types and often leads to feedback from the authors about existing annotations. For more on community curation visit our curation stats and PMID:32353878.

  • Maintenance of the genome annotation: To allow accurate functional genomics and genomic interrogation in fission yeast we periodically incorporate new data to keep the genome annotation current. Updates can include revisions to existing protein coding gene structures, or more precise transcript boundaries, and new non-coding RNAs) sourced from user communications, gene specific publications or transcriptomics and proteomic datasets. Our updates are propagated to NCBI/ENA/Ensembl reference genomes, and UniPROT reference proteome.

  • Causal modelling of biological pathways: We have piloted a system to generate ‘causal’ networks (connecting genes and their activities into pathways using casual relationships) directly from Gene Ontology annotation data. To date almost 55% fission yeast proteins are included in at least one automated process network. We are currently using these networks to target literature curation gaps. During our current funding cycle, we will collaborate with GO to formalise these causal connections into GO-CAM syntax and then to provide automated biological pathway visualisation based on curated data.

  • Human and budding yeast ortholog curation: We provide a manually refined inventory of consensus ortholog datasets (3991 S. cerevisiae and 3597 human orthologs) and actively work to extend it by targeting missing components of complexes involved in conserved eukaryotic biology. Distant orthologs are still being found even in heavily researched model organisms. Some recent examples using AlphaFold and Reciprocal Best Structure Hits (RBSH) can be found here.

  • Priority unstudied genes: we have developed a method to generate inventories of proteins of unknown biological role based on GO process slims (PMID:30938578). In pombe, 133 genes that are conserved in vertebrates have unknown functions. We actively encourage PomBase researchers and the wider community users to investigate the unknown”ome”. See the list.

  • Disease gene annotation: identification of disease gene connections between yeast and humans increases the relevance of the study of yeast genes. We integrate with several databases of human disease genes (Malacards, Monarch, OMM) and use data from publications to connect disease ontology terms to fission yeast orthologs.

  • Fission yeast gene nomenclature: we approve requested gene names in consultation with the fission yeast Gene Naming committee, and name certain unstudied genes based on orthology.

  • Fission yeast allele nomenclature: we are currently consulting the fission yeast community to develop nomenclature guidelines to standardise allele naming. They will cover new constructs that are becoming more common, such as chimeras.

  • Annotation quality control: Often an overlooked component of curation work, refining existing annotations is crucial to ensure accurate queries and knowledge representation. We revisit our existing annotations through small projects where we review a biological process, develop methods to automatically identify annotation errors (GO Term Matrix - PMID:32875947) and adapt to changes in annotation criteria, which generally become stricter.

  • Outreach and user support: we maintain documentation pages for all features of PomBase. We communicate website updates in our pombe mailing list. In the next months, we plan to release curation tutorials for authors that curate their papers using Canto.

  • Non-experimental GO annotation: we actively review literature from other model organisms and make inferred annotations to GO terms for genes that are not studied in fission yeast. This ensures breadth of curation, for GO enrichment analysis and for identification of truly unstudied genes. We host 14723 GO annotations that do not come from fission yeast literature, of which 11200 are manually assigned.

PomBase and collaborative publications

Please see the Citing PomBase page, which lists papers to cite for PomBase, the S. pombe genome sequence, Canto, FYPO, annotations and Compara.

Journal articles

Gene Ontology Consortium.
The Gene Ontology knowledgebase in 2023
Genetics, Volume 224, Issue 1, May 2023, iyad031

10.1093/genetics/iyad031

Vivian Monzon, Typhaine Paysan-Lafosse, Valerie Wood, Alex Bateman
Reciprocal Best Structure Hits: Using AlphaFold models to discover distant homologues
Bioinformatics Advances, October 2022, vbac072

10.1093/bioadv/vbac072

Valérie de Crécy-lagard et al. (including Val Wood)
A roadmap for the functional annotation of protein families: a community perspective
DATABASE, Volume 2022, August 2022, baac062

PMID:35961013 10.1093/database/baac062

Valerie Wood, Paul W Sternberg, Howard D Lipshitz
Making biological knowledge useful for humans and machines
Genetics, Volume 220, Issue 4, April 2022, iyac001

PMID:35380659 10.1093/genetics/iyac001

Harris MA, Rutherford KM, Hayles J, Lock A, Bähler J, Oliver S, Mata J, Wood V
Fission stories: Using PomBase to understand Schizosaccharomyces pombe biology
Genetics, Volume 220, Issue 4, April 2022, iyab222

PMID:35100366 10.1093/genetics/iyab222

Rutherford KM, Harris MA, Oliferenko S, Wood V
JaponicusDB: rapid deployment of a model organism database for an emerging model species
Genetics, Volume 220, Issue 4, April 2022, iyab223

PMID:35380656 10.1093/genetics/iyab223

Urban M, Cuzick A, Seager J, Wood V, Rutherford K, Venkatesh SY, Sahu J, Vijaylakshmi Iyer S, Khamari L, De Silva N, Martinez MC, Pedro H, Yates AD, Hammond-Kosack KE
PHI-base in 2022: a multi-species phenotype database for Pathogen–Host Interactions
NAR, Volume 50, Issue D1, 7 January 2022, Pages D837–D847

PMID:34788826 10.1093/nar/gkab1037

Gene Ontology Consortium.
The Gene Ontology resource: enriching a GOld mine.
Nucleic Acids Res. 2021 Jan 8;49(D1):D325-D334.

PMID:33290552 DOI:10.1093/nar/gkaa1113

Wood V, Carbon S, Harris MA, Lock A, Engel SR, Hill DP, Van Auken K, Attrill H, Feuermann M, Gaudet P, Lovering RC, Poux S, Rutherford KM, Mungall CJ.
Term Matrix: a novel Gene Ontology annotation quality control system based on ontology term co-annotation patterns.
Open Biol 2020 Sep;10(9):200149

PMID:32875947 DOI:10.1098/rsob.200149

Shefchek KA et al. (including Harris MA).
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species.
Nucleic Acids Res. 2020 Jan 8;48(Database issue): D704-D715.

PMID:31701156 DOI:10.1093/nar/gkz997

Urban M, Cuzick A, Seager J, Wood V, Rutherford K, Venkatesh SY, De Silva N, Martinez MC, Pedro H, Yates AD, Hassani-Pak K, Hammond-Kosack KE.
PHI-base: the pathogen-host interactions database.
Nucleic Acids Res. 2020 Jan 8;48(Database issue): D613-D620.

PMID:31733065 DOI:10.1093/nar/gkz904

Lock A, Harris MA, Rutherford K, Hayles J, Wood V.
Community curation in PomBase: enabling fission yeast experts to provide detailed, standardized, sharable annotation from research publications.
Database (Oxford) 2020 Jan 1;2020. pii: baaa028.

PMID:32353878 DOI:10.1093/database/baaa028

Dikicioglu D, Nightingale DJH, Wood V, Lilley KS, Oliver SG.
Transcriptional regulation of the genes involved in protein metabolism and processing in Saccharomyces cerevisiae.
* FEMS Yeast Res.* 2019 Mar 1;19(2):foz014.

PMID:30753445 DOI:10.1093/femsyr/foz014

Wood V, Lock A, Harris MA, Rutherford K, Bähler J, Oliver SG.
Hidden in plain sight: What remains to be discovered in the eukaryotic proteome?
Open Biol 2019 Feb 28;9(2):180241.

PMID:30938578 DOI:10.1098/rsob.180241

The Gene Ontology Consortium.
The Gene Ontology Resource: 20 years and still GOing strong.
Nucleic Acids Res. 2019 Jan 8;47(Database issue):D330-D338.

PMID:30395331 DOI:10.1093/nar/gky1055

The RNAcentral Consortium.
RNAcentral: a hub of information for non-coding RNA sequences.
Nucleic Acids Res. 2019 Jan 8;47(Database issue):D221-D229. Epub 2018 Nov 5.

PMID:30395267 DOI:10.1093/nar/gky1034 (Correction in DOI:10.1093/nar/gky1206)

Lock A, Rutherford K, Harris MA, Hayles J, Oliver SG, Bähler J; Wood V.
PomBase 2018: user-driven reimplementation of the fission yeast database provides rapid and intuitive access to diverse, interconnected information.
Nucleic Acids Res. 2019 Jan 8;47(Database issue): D821-D827. Epub 2018 Oct 13.

PMID:30321395 DOI:10.1093/nar/gky961

Gene Ontology Consortium.
Annotation of gene product function from high-throughput studies using the Gene Ontology.
Database (Oxford). 2019 Jan 1;2019:baz007.

PMID:30715275 DOI:10.1093/database/baz007

Urban M, Cuzick A, Rutherford K, Irvine A, Pedro H, Pant R, Sadanadan V, Khamari L, Billal S, Mohanty S, Hammond-Kosack KE.
PHI-base: a new interface and further additions for the multi-species pathogen-host interactions database.
Nucleic Acids Res. 2017 Jan 4;45(D1):D604-D610. Epub 2016 Dec 3.

PMID:27915230 DOI:10.1093/nar/gkw1089

The Gene Ontology Consortium
Expansion of the Gene Ontology knowledgebase and resources.
Nucleic Acids Res. 2017 Jan 4;45(D1):D331-D338. Epub 2016 Nov 29.

PMID:27899567 DOI:10.1093/nar/gkw1108

The RNAcentral Consortium
RNAcentral: a comprehensive database of non-coding RNA sequences.
Nucleic Acids Res. 2017 Jan 4;45(D1):D128-D134. Epub 2016 Oct 28.

PMID:27794554 DOI:10.1093/nar/gkw1008

Huntley RP, Sitnikov D, Orlic-Milacic M, Balakrishnan R, D’Eustachio P, Gillespie ME, Howe D, Kalea AZ, Maegdefessel L, Osumi-Sutherland D, Petri V, Smith JR, Van Auken K, Wood V, Zampetaki A, Mayr M, Lovering RC.
Guidelines for the functional annotation of microRNAs using the Gene Ontology.
RNA. 2016 May;22(5):667-76. Epub 2016 Feb 25.

PMID:26917558 DOI:10.1261/rna.055301.115

Oliver SG, Lock A, Harris MA, Nurse P, Wood V.
Model organism databases: essential resources that need the support of both funders and users.
BMC Biol. 2016 14(1): 49.

PMID:27334346 DOI:10.1186/s12915-016-0276-z

Bitton DA, Schubert F, Dey S, Okoniewski M, Smith GC, Khadayate S, Pancaldi V, Wood V, Bähler J.
AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast.
Front Genet. 2015 Nov 16;6:330. eCollection 2015.

PMID:26635866 DOI:10.3389/fgene.2015.00330

Hoffman CS, Wood V, Fantes PA.
An Ancient Yeast for Young Geneticists: A Primer on the Schizosaccharomyces pombe Model System.
Genetics. 2015 Oct;201(2):403-23.

PMID:26447128 DOI:10.1534/genetics.115.181503
(Erratum in PMID:26953269 DOI:10.1534/genetics.116.187088)

Gene Ontology Consortium
Gene Ontology Consortium: going forward.
Nucleic Acids Res. 2015 Jan;43(Database issue):D1049-56. Epub 2014 Nov 26.

PMID:25428369 DOI:10.1093/nar/gku1179

McDowall MD, Harris MA, Lock A, Rutherford K, Staines DM, Bähler J, Kersey PJ, Oliver SG, Wood V.
PomBase 2015: updates to the fission yeast database.
Nucleic Acids Res. 2015 Jan;43(Database issue):D665-61. Epub 2014 Oct 31.

PMID:25361970 DOI:10.1093/nar/gku1040

Dikicioglu D, Wood V, Rutherford KM, McDowall MD, Oliver SG.
Improving functional annotation for industrial microbes: a case study with Pichia pastoris.
Trends Biotechnol. 2014 Aug;32(8):396-9. Epub 2014 Jun 11.

PMID:24929579 DOI:10.1016/j.tibtech.2014.05.003

Alam-Faruque Y, Hill DP, Dimmer EC, Harris MA, Foulger RE, Tweedie S, Attrill H, Howe DG, Thomas SR, Davidson D, Woolf AS, Blake JA, Mungall CJ, O’Donovan C, Apweiler R, Huntley RP.
Representing kidney development using the gene ontology.
PLoS One. 2014 Jun 18;9(6):e99864. eCollection 2014.

PMID:24941002 DOI:10.1371/journal.pone.0099864

Huntley RP, Harris MA, Alam-Faruque Y, Blake JA, Carbon S, Dietze H, Dimmer EC, Foulger RE, Hill DP, Khodiyar VK, Lock A, Lomax J, Lovering RC, Mutowo-Meullenet P, Sawford T, Van Auken K, Wood V, Mungall CJ.
A method for increasing expressivity of Gene Ontology annotations using a compositional approach.
BMC Bioinformatics. 2014 May 21;15:155.

PMID:24885854 DOI:10.1186/1471-2105-15-155.

Rutherford KM, Harris MA, Lock A, Oliver SG, Wood V.
Canto: An online tool for community literature curation.
Bioinformatics. 2014 Jun 15;30(12):1791-2. Epub 2014 Feb 25.

PMID:24574118 DOI:10.1093/bioinformatics/btu103

Hill DP, Adams N, Bada M, Batchelor C, Berardini TZ, Dietze H, Drabkin HJ, Ennis M, Foulger RE, Harris MA, Hastings J, Kale NS, de Matos P, Mungall CJ, Owen G, Roncaglia P, Steinbeck C, Turner S, Lomax J.
Dovetailing biology and chemistry: integrating the Gene Ontology with the ChEBI chemical ontology.
BMC Genomics. 2013 Jul 29;14:513.

PMID:23895341 DOI:10.1186/1471-2164-14-513

Balakrishnan R1, Harris MA, Huntley R, Van Auken K, Cherry JM.
A guide to best practices for Gene Ontology (GO) manual annotation.
Database (Oxford). 2013 Jul 9;2013:bat054. Print 2013.

PMID:23842463 DOI:10.1093/database/bat054.

Hayles J, Wood V, Jeffery L, Hoe KL, Kim DU, Park HO, Salas-Pino S, Heichinger C, Nurse P.
A genome-wide resource of cell cycle and cell shape genes of fission yeast.
Open Biol. 2013 May 22;3(5):130053.

PMID:23697806 DOI:10.1098/rsob.130053

Gene Ontology Consortium
Gene Ontology annotations and resources.
Nucleic Acids Res. 2013 Jan;41(Database issue):D530-5. Epub 2012 Nov 17.

PMID:23161678 DOI:10.1093/nar/gks1050

Harris MA, Lock A, Bähler J, Oliver SG, Wood V.
FYPO: The Fission Yeast Phenotype Ontology.
Bioinformatics. 2013 Jul 1;29(13):1671-8. Epub 2013 May 8.

PMID:23658422 DOI:10.1093/bioinformatics/btt266.

Smith RN1, Aleksic J, Butano D, Carr A, Contrino S, Hu F, Lyne M, Lyne R, Kalderimis A, Rutherford K, Stepan R, Sullivan J, Wakeling M, Watkins X, Micklem G.
InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data.
Bioinformatics. 2012 Dec 1;28(23):3163-5. Epub 2012 Sep 27.

PMID:23023984 DOI:10.1093/bioinformatics/bts577

Hoehndorf R, Harris MA, Herre H, Rustici G, Gkoutos GV.
Semantic integration of physiology phenotypes with an application to the Cellular Phenotype Ontology.
Bioinformatics. 2012 Jul 1;28(13):1783-9. Epub 2012 Apr 26.

PMID:22539675 DOI:10.1093/bioinformatics/bts250

Thomas PD, Wood V, Mungall CJ, Lewis SE, Blake JA; Gene Ontology Consortium.- On the Use of Gene Ontology Annotations to Assess Functional Similarity among Orthologs and Paralogs: A Short Report.
PLoS Comput Biol. 2012;8(2):e1002386. Epub 2012 Feb 16.

PMID:22359495 DOI:10.1371/journal.pcbi.1002386

Contrino S, Smith RN, Butano D, Carr A, Hu F, Lyne R, Rutherford K, Kalderimis A, Sullivan J, Carbon S, Kephart ET, Lloyd P, Stinson EO, Washington NL, Perry MD, Ruzanov P, Zha Z, Lewis SE, Stein LD, Micklem G.
modMine: flexible access to modENCODE data.
Nucleic Acids Res. 2012 Jan;40(Database issue):D1082-8. Epub 2011 Nov 12.

PMID:22080565 DOI:10.1093/nar/gkr921

Wood V, Harris MA, McDowall MD, Rutherford K, Vaughan BW, Staines DM, Aslett M, Lock A, Bähler J, Kersey PJ, Oliver SG.
PomBase: a comprehensive online resource for fission yeast.
Nucleic Acids Res. 2012 Jan;40(Database issue):D695-9. Epub 2011 Oct 28.

PMID:22039153 DOI:10.1093/nar/gkr853

Wood V, Harris MA, McDowall MD, Rutherford K, Vaughan BW, Staines DM, Aslett M, Lock A, Bähler J, Kersey PJ, Oliver SG.
PomBase: a comprehensive online resource for fission yeast.
Nucleic Acids Res. 2012 Jan;40(Database issue):D695-9. Epub 2011 Oct 28.

PMID:22039153 DOI:10.1093/nar/gkr853

Leonelli S, Diehl AD, Christie KR, Harris MA, Lomax J.
How the gene ontology evolves.
BMC Bioinformatics. 2011 Aug 5;12:325.

PMID:21819553 DOI:10.1186/1471-2105-12-325

Bitton DA, Wood V, Scutt PJ, Grallert A, Yates T, Smith DL, Hagan IM, Miller CJ.
Augmented annotation of the Schizosaccharomyces pombe genome reveals additional genes required for growth and viability.
Genetics. 2011 Apr;187(4):1207-17. Epub 2011 Jan 26.

PMID:21270388 DOI:10.1534/genetics.110.123497

Gene Ontology Consortium
The Gene Ontology:enhancements for 2011.
Nucleic Acids Res. 2011 Jan;40(Database issue):D559-64. Epub 2012 Nov 17.

PMID:22102568 DOI:10.1093/nar/gkr1028

Kim DU, Hayles J, Kim D, Wood V, Park HO, Won M, Yoo HS, Duhig T, Nam M, Palmer G, Han S, Jeffery L, Baek ST, Lee H, Shim YS, Lee M, Kim L, Heo KS, Noh EJ, Lee AR, Jang YJ, Chung KS, Choi SJ, Park JY, Park Y, Kim HM, Park SK, Park HJ, Kang EJ, Kim HB, Kang HS, Park HM, Kim K, Song K, Song KB, Nurse P, Hoe KL.
Analysis of a genome-wide set of gene deletions in the fission yeast Schizosaccharomyces pombe.
Nat Biotechnol. 2010 Jun;28(6):617-623. Epub 2010 May 16.

PMID:20473289 DOI:10.1038/nbt.1628

Gene Ontology Consortium
The Gene Ontology in 2010: extensions and refinements.
Nucleic Acids Res. 2010 Jan;38(Database issue):D331-5. Epub 2009 Nov 17.

PMID:19920128 DOI:10.1093/nar/gkp1018

Preprints

Harris MA, Rutherford KM, Hayles J, Lock A, Bähler J, Oliver SG, Mata J, Wood V.
Fission stories: Using PomBase to understand Schizosaccharomyces pombe biology.
Pre-publication manuscript available at bioRxiv.
Published — see above.

Wood V, Carbon S, Harris MA, Lock A, Engel SR, Hill DP, Van Auken K, Attrill H, Feuermann M, Gaudet P, Lovering RC, Poux S, Rutherford KM, Mungall CJ.
Term Matrix: A novel Gene Ontology annotation quality control system based on ontology term co-annotation patterns.
Pre-publication manuscript available at bioRxiv.
Published — see above.

Wood V, Lock A, Harris MA, Rutherford K, Bähler J, Oliver SG.
Hidden in plain sight: What remains to be discovered in the eukaryotic proteome?
Pre-publication manuscript available at bioRxiv.
Published — see above.

Book chapter

Lock A, Rutherford K, Harris MA, Wood V. 2018.
PomBase: The Scientific Resource for Fission Yeast.
In Kollar M (ed) Eukaryotic Genomic Databases. Methods in Molecular Biology, vol 1757. Humana Press, New York, NY

DOI:10.1007/978-1-4939-7737-6_4

Other documents

Wood, V., Harris, M., Lock, A., & Rutherford, K.
New PomBase Website 2017, Group Leader Survey Summary.
PomBase 2017-12-01

10.17863/CAM.36799

Infographics

2017 PomBase infographic (PDF; file at FTP site)

More

Posters and slides from conferences and workshops are available on the Documents page.

Altmetric badges link to data provided by Altmetric.com, a research metrics company who track and collect the online conversations around millions of scholarly outputs. Read more about Altmetrics.

Resource Metrics

Curation

The Curation Statistics page (currently part of PomBase Canto) provides a set of metrics reflecting the current state of literature curation in PomBase.

Web usage

Statistics forthcoming

PomBase Terms of Use

All data curated by PomBase, including data from Canto community curation, are licensed under the Creative Commons Attribution 4.0 International license (CC-BY; see the Creative Commons site for a summary and the full license).

Datasets hosted in the genome browser and front-page Research Spotlight images are used with permission of the generating researchers. Specific copyright and licensing terms may apply; consult the relevant publications (listed on the Data Sources page) for details.

Canto is is licensed under the GNU General Public License v3.0; see the Canto License page for more information.

Also see the Citing PomBase page.

PomBase data version history

This table records versions of software, annotations, etc. used in the numbered releases of PomBase made between September 2012 and January 2017. See the Chado database dumps page for a link to the data represented by the “Annotation Version” column.

Past PomBase Releases

Release Date INSDC Gene Build Ensembl Software Release Annotation Version GO GAF InterPro Manually Curated Ortholog table
2017-01-30 ASM294v2 2.1 e!84, EG30 62 2017-03-17 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2016-10-21 ASM294v2 2.1 e!84, EG30 61 2016-10-21 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2016-06-01 ASM294v2 2.1 e!84, EG30 60 2016-06-01 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2016-05-10 ASM294v2 2.1 e!84, EG30 59 2016-05-11 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2016-04-12 ASM294v2 2.1 e!84, EG30 58 2016-04-12 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2016-02-11 ASM294v2 2.1 e!83, EG30 57 2016-02-11 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2015-12-02 ASM294v2 2.1 e!82, EG29 56 2015-12-02 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2015-09-29 ASM294v2 2.1 e!81, EG28 55 2015-09-29 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2015-09-07 ASM294v2 2.1 e!81, EG28 54 2015-09-01 InterProScan5 (5.14-53.0 23 July 2015) pombe/cerevisiae: 2.21 (2014-08-31); pombe/human 2015-08-13
2015-06-17 ASM294v2 2.1 e!79, EG26 53 2015-06-17 InterProScan5 (5.8-49.0 20-November-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2015-05-27
2015-05-28 ASM294v2 2.1 e!79, EG26 52 2015-05-29 InterProScan5 (5.8-49.0 20-November-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2015-05-27
2015-04-21 ASM294v2 2.1 e!79, EG26 51 2015-04-21 InterProScan5 (5.8-49.0 20-November-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2015-03-10
2015-03-25 ASM294v2 2.1 e!78, EG25 50 2015-03-25 InterProScan5 (5.8-49.0 20-November-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2015-03-10
2015-02-19 ASM294v2 2.1 e!78, EG25 49 2015-02-17 InterProScan5 (5.8-49.0 20-November-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2014-09-01
2015-01-27 ASM294v2 2.1 e!78, EG25 48 2015-01-20 InterProScan5 (5.8-49.0 20-November-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2014-09-01
2014-11-13 ASM294v2 2.1 e!76, EG23 47 2014-11-13 InterProScan5 (5.7-48.0 August-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2014-09-01
2014-09-16 ASM294v2 2.1 e!76, EG23 46 2014-09-15 InterProScan5 (5.7-48.0 August-2014) pombe/cerevisiae: 2.20 (2014-08-31); pombe/human 2014-09-01
2014-08-18 ASM294v2 2.1 e!76, EG23 45 2014-08-18 InterProScan5 (5.7-48.0 August-2014) pombe/cerevisiae: 2.18 (2012-11-07)
2014-07-18 ASM294v2 2.1 e!75, EG22 44 2014-07-18 InterProScan5 (5.4-47.0 June-2014) pombe/cerevisiae: 2.18 (2012-11-07)
2014-07-08 ASM294v2 2.1 e!75, EG22 43 2014-07-08 InterProScan5 (5.4-47.0 June-2014) pombe/cerevisiae: 2.18 (2012-11-07)
2014-05-15 ASM294v2 2.1 e!75, EG22 42 2014-05-13 InterProScan5 (5.3-46.0 January-2014) pombe/cerevisiae: 2.18 (2012-11-07)
2014-03-20 ASM294v2 2.1 e!74, EG21 41 2014-03-20 InterProScan5 (5.3-46.0 January-2014) pombe/cerevisiae: 2.18 (2012-11-07)
2014-02-20 ASM294v2 2.1 e!74, EG21 40 2014-02-20 InterProScan5 (5.3-46.0 January-2014) pombe/cerevisiae: 2.18 (2012-11-07)
2013-12-10 ASM294v2 2.1 e!73, EG20 39 2013-12-04 InterProScan5 (2013-04-24) pombe/cerevisiae: 2.18 (2012-11-07)
2013-10-22 ASM294v2 2.1  e!73, EG20 38 2013-11-11 InterProScan5 (2013-04-24) pombe/cerevisiae: 2.18 (2012-11-07)
2013-09-16 ASM294v2 2.1 e!71, EG18 37 2013-09-18 InterProScan5 (2013-04-24) pombe/cerevisiae: 2.18 (2012-11-07)
2013-06-21 ASM294v2 2.1 e!71, EG18 36 2013-07-02 InterProScan5 (2013-04-24) pombe/cerevisiae: 2.18 (2012-11-07)
2013-05-21 ASM294v2 2.1 e!71, EG18  35 2013-06-06   pombe/cerevisiae: 2.18 (2012-11-07)
2013-05-07 ASM294v2 2.1 e!71, EG18  34 2013-04-18   pombe/cerevisiae: 2.18 (2012-11-07)
2013-04-02 ASM294v2 2.1 e!70, EG17 33 2013-03-07   pombe/cerevisiae: 2.18 (2012-11-07)
2013-02-26 ASM294v2 2.1 e!70, EG17  31 2013-01-16   pombe/cerevisiae: 2.18 (2012-11-07)
2012-11-19 ASM294v2 2.1 e!69, EG16  30 2012-11-27   pombe/cerevisiae: 2.18 (2012-11-07)
2012-10 ASM294v2 2.1 e!69, EG16  29       
2012-09 ASM294v2 2.1  e!68, EG15  28       

Brief explanations

Item Description
INSDC Accession of the current S. pombe sequence in the International Nucleotide Sequence Data Collaboration (ENA, GenBank, DDBJ) databases
Gene Build Version of gene feature annotation
Ensembl Software Release Versions of ensembl (e!) and Ensembl Genomes (EG) data and software used to build PomBase
Annotation Version Version of curated PomBase annotations (sequence features, ontology annotations, etc.)
GO GAF Date on which GO annotation data were retrieved from the GO repository
InterPro Date and version of InterProScan used to find matches to InterPro entries
Manually Curated Ortholog table Date and version of the manually curated sets of pombe/cerevisiae (and, where included, pombe/human) orthologs

Monarch Disease Ontology slim

A “slim” is a high-level subset of terms from an ontology, used to analyze sets of annotated genes. The table below shows a slim set of grouping terms that we have selected from the Mondo Disease Ontology (Mondo) and the number of annotations to each term. Mondo IDs link to PomBase ontology term pages. The annotation totals link to pages with information about the term and a list of annotated genes. A gene may be included in the annotation sets for more than one slim term.

You can download a list of current PomBase Mondo slim IDs and term names from the PomBase FTP site.

If you would like to have any terms added to the PomBase Mondo slim set, please contact the helpdesk.

DNA binding site consensus sequences in S. pombe

Also see PomBase JBrowse with binding site track enabled.

Transcription factor binding sites

Site Name Consensus Sequence bound by Sequence Ontology ID Reference
AACCCT box ATCA(C/A)AACCCTAACCCT Ams2, Teb1 SO:0001901 PMID:17452352, PMID:4092687
Ace2 UAS CCAGCC Ace2 SO:0001857 PMID:16678171
AP 1 binding site TGACTCA Pap1 SO:0001842 PMID:1899230, PMID:3034432, PMID:3125983
calcineurin-dependent response element (CDRE motif) GNGGCKCA Prz1 SO:0001865 PMID:16928959
CCAAT motif CCAAT Php2, Php3, Php4, Php5 SO:0001856 PMID:16963626
copper-response element (CuRE) HTHNNGCTGD Cuf1 SO:0001844 PMID:10593913, PMID:9188496, PMID:9211922
CSL response element GTGRGAA Cbf11 SO:0001839 PMID:19101542
cyclic AMP response element (CRE) TGACGTCA Atf1, Pap1, Pcr1 SO:0001843 PMID:11483355, PMID:11483993
DNA damage response element (DRE) CGWGGWNGMM Deb1 SO:0001845 PMID:11073995, PMID:8668127
FLEX element GTAAACAAACAAAM Fkh2, Mei4 SO:0001846 PMID:10747048, PMID:14871934
forkhead motif TTTRTTTACA Sep1 SO:0001847 PMID:15195092
GATA box WGATAR Gaf1 SO:0001840 PMID:8321208
heat shock element (HSE) NGAAN (at least 3 copies) Hsf1, Prr1 SO:0001850 PMID:17347150, PMID:8689565
homol D box CAGTCACA (or inverted form TGTGACTG) Fhl1, Rrn7 SO:0001848 PMID:21673110, PMID:7501449, PMID:8458332
homol E box ACCCTACCCT (or inverted form AGGGTAGGGT) Fhl1 SO:0001849 PMID:7501449
Inr consensus initiator sequence PyPyPuN(A/C)(C/A) SO:0000014 PMID:25747261
Inr immediate downstream motif CC(T/A)(T/C)(T/C/A)(A/G)CCA(A/T/C)
iron repressed GATA element WGATAA Atf1, Fep1 SO:0001851 PMID:11956219, PMID:17211681
LOZ1 response element CGNMGATCNTY Loz1 SO:0002225 PMID:31515876
mating type M-box ACAAT Mat1-Mc SO:0001852 PMID:9233811
MluI cell cycle box (MCB) ACGCGT Cdc10, Res1, Res2, Yox1 SO:0001855 PMID:16285853
Pho7 binding site [5’-TCG(G/C)(A/T)xxTTxAA] Pho7 SO:0002216 PMID:28811350
pombe cell cycle box (PCB) GNAACR Sep1, Fkh2, Mbx1 SO:0001871 PMID:12411492
Sap1 recognition motif TARGCAGNTNYAACGMG Sap1 SO:0001864 PMID:16166653, PMID:7651412
sterol regulatory element ATCACCCCAC (and variants) Sre1 SO:0001861 PMID:11111080, PMID:16537923
STREP motif CCCCTC Rst2 SO:0001859 PMID:11739717
TATA box TATA(A|T)A(A|T) Brf1, Tbp1 SO:0000174 PMID:16858867
TR box TTCTTTGTTY Ste11, Mat1-Mc SO:0001858 PMID:1657709
Zas1 recognition motif (Y)CCCCAY Zas1 SO:0002215 PMID:29735745
zinc repressed element GNMGATC Loz1 SO:0002006 PMID:24003116

Other DNA binding sites

Site Name Consensus Sequence bound by Sequence Ontology ID Reference
ARS consensus sequence WTTTAYRTTTW Cbp1 SO:0002004
GT dinucleotide repeat (GT)n Tsn1 SO:0001862
GTT trinucleotide repeat (GTT)n Tsn1 SO:0001863 PMID:
rDNA intergenic spacer element AGGTAAGGGTAATGCAC Reb1 SO:0001860 PMID:9016645
telomeric repeat TTAC(0-1)A(0-1)G(1-8) Taz1 SO:0001496 PMID:8720065

Notes

SO IDs link to MISO, the Sequence Ontology browser. Consensus sequences use the IUBMB Nomenclature for Incompletely Specified Bases in Nucleic Acid Sequences; briefly:

  • R = purine (A or G)
  • Y = pyrimidine (C or T)
  • W = A or T
  • M = A or C
  • K = G or T
  • H = A, C or T

Drugs with known S. pombe targets

This table lists drugs that affect S. pombe, and summarizes what is known about their targets or mechanisms of action.

Drug Target gene(s) Cellular target Process target Other/notes Reference
1,3-dicyclohexylcarbodiimide (N,N’-dicyclohexylcarbodiimide ; DCCD) inhibits proton pumps PMID:33400299
1,10-phenanthroline RNA polymerases II and III PMID:27518095
2‐thenoyltrifluoroacetone (TTFA) inhibits mitochondrial complex II respiratory electron transport PMID:33400299
CT2108A fatty acid synthase
CT2108B fatty acid synthase
α-amanitin rpb1 RNA polymerase II transcription initiation and elongation interferes with a protein conformational change underlying the transcription mechanism PMID:11805306 (PubMed link)
alverine citrate proteasome/lipid synthesis?
amiloride bsu1 plasma membrane importer glucose metabolism PMID:15701794, PMID:8431459
amphotericin B ergosterol binding sterol biosynthesis forms membrane pores
anidulafungin bgs4, bgs1 and/or bgs3 1,6 branched 1,3-beta-glucan synthase cell wall synthesis cytokinesis is blocked; see also echinocandin PMID:34959732
anisomycin translation
antifungal azoles sterol biosynthesis
antimycin A inhibits mitochondrial complex III respiratory electron transport PMID:33400299
arborcandin C 1,3-beta-glucan synthase
benomyl nda3 microtubule cytoskeleton microtubule destabilizer
blebbistatin myo2, myp2 inhibits myosin II ATPase PMID:23770677
bleomycins fungal cell wall septation, cytokinesis gamma irradiation mimetic Forsburg lab
bortezomib proteasome PMID:25908789
brefeldin A gea1 intracellular vesicle-mediated transport inhibits the GEFs for class II ARFs; blocks coat assembly and vesicle budding PMID:27191590, PMID:1448152 (PubMed link)
Calcofluor White cell wall synthesis
camptothecin Top1 topoisomerase 1
canavanine toxic arginine analog
cerulenin β-keto-acyl ACP synthase, HMG-CoA synthase PMID:30003614
chloramphenicol mitochondrial translation PMID:20876130
chlorpropham (isopropyl N-3-chlorophenyl carbamate) spindle spindle poison
Cutin-1 fas1 fatty acid synthase nuclear envelope expansion during mitosis PMID:26869222
cycloheximideg 60S ribosomal subunit translation prevents release of deacetylated tRNA from the E site
cyclosporin A calcineurin and cyclophilins several cyclophilins described in S. pombe PMID:16134115
dehydroxestoquinone myo2, myp2 myosin II inhibits skeletal muscle myosin II PMID:23770677
dihydromotuporamine C proteasome? lipid synthesis?
diuron inhibits mitochondrial complex III respiratory electron transport PMID:33400299
enfumafungin bgs4 1,6 branched 1,3-beta-glucan synthase cell wall synthesis Bgs1 and Bgs3 are unaffected PMID:21115488
fenpropimorph proteasome? lipid synthesis?
hydroxyurea suc22 ribonucleotide reductase small subunit slows DNA synthesis causes replication fork stalling PMID:27869662 (PubMed link)
hygromycin B 40S ribosomal subunit translation interferes with translocation of tRNA from the A site to the P site of the ribosome
itraconazole spindle spindle poison
latrunculin A or latrunculin B actin polymerization
leptomycin B crm1 nuclear export
lovastatin hmg1 HMG CoA-reductase (competitive inhibitor) ergosterol biosynthesis
metformin inhibits mitochondrial complex I respiratory electron transport PMID:33400299
methyl 5-hydroxy-2-benzimidazole carbamate microtubules reversible MT inhibitor
mevastatin (compactin) hmg1 HMG CoA-reductase (competitive inhibitor) ergosterol biosynthesis
micafungin bgs4 1,6 branched 1,3-beta-glucan synthase cell wall synthesis Bgs1 and Bgs3 are unaffected PMID:34959732
microcystin PP2A PMID:29079657
monensin Golgi transmembrane Na+/H+ antiporter ion transport
mycophenolic acid gua1 IMP dehydrogenase limits cellular GTP pools PMID:11535588 (PubMed link)
natamycin ergosterol binding blocks fungal growth without permeabilizing the membrane
NSC624206 uba1 Inhibits thioester bond formation between Ub and Uba1 without affecting adenylation activity PMID:22274912 (PubMed link)
PYR-41 uba1 Inhibits thioester bond formation between Ub and Uba1 without affecting adenylation activity PMID:22274912
nystatin ergosta-5,7,22,24,(28)-tetraenol binding ergosterol biosynthesis antifungal
oligomycin inhibits ATP synthase PMID:33400299
orthovanadate (vanadate, sodium vanadate) H(+)-ATPase, kinesin ATPase, dynein ATPase (not myosin ATPase) PMID:8431459 (H(+)-ATPase, PMID:23770677 (motor ATPases)
oxazolidinones translation
papulacandin B bgs4 1,6 branched 1,3-beta-glucan synthase cell wall synthesis Bgs1 and Bgs3 are unaffected PMID:21115488
phleomycin nucleic acids antibiotic; damages nucleic acids in the presence of iron when cells are grown aerobically PMID:17724773
pravastatin hmg1 HMG-CoA reductase ergosterol biosynthesis
rapamycin (sirolimus) fkh1 TOR kinase (inhibitor) cell cycle progression PMID:11335722
ricin ribosome translation
rotenone inhibits mitochondrial complex I respiratory electron transport PMID:33400299
sanglifehrin A cyclophilin binding
sodium azide (NaN3) inhibits mitochondrial complex III respiratory electron transport PMID:33400299
spliceostatin A binds SF3b components splicing PMID:17961508
staurosporine protein kinase
tacrolimus (FK506) fkh1 TOR kinase (inhibitor) cell cycle progression PMID:11335722
tagetitoxin (tagetin) rpc53 RNA polymerase III RNA polymerases and associated factors (book)
tamoxifen ccr1 NADPH-cytochrome p450 reductase affects cell wall integrity PMID:32571823
terbinafine erg1 squalene monooxygenase sterol biosynthesis PMID:32320462
thialysine naturally occurring, toxic lysine analog
torin1 tor1, tor2 TOR signaling PMID:24424027
trichostatin A (TSA) clr3, clr6, hos2 histone deacetylase PMID:19723888
tunicamycin N-glycosylation
zaragozic acid N-glycosylation

Fission yeast GO Biological Process slim

A “GO slim” is a subset of the Gene Ontology terms selected for a specific purpose in interpreting large-scale data, such as functional annotation of a genome or high-throughput experimental results. PomBase uses a GO slim to provide a simple summary of S. pombe’s biological capabilities by grouping gene products using broad classifiers.

The table below shows terms in the current fission yeast biological process GO slim, and the number of annotations to each term. GO IDs link to PomBase ontology term pages. Icons beside each GO term link to esyN, which provides a graphical view of interactions for the genes from the PomBase High Confidence Physical Interaction Network (HCPIN) dataset. Only the subset of genes linked into the interaction network will be displayed in the esyN network view. The annotation totals link to pages with information about the term and a list of annotated genes.

Further information is available from the PomBase GO slim documentation and additional pages linked there. You can also download a list of current GO process slim IDs and term names from the PomBase FTP site.

Fission yeast GO Cellular Component slim

A “GO slim” is a subset of the Gene Ontology terms selected for a specific purpose in interpreting large-scale data, such as functional annotation of a genome or high-throughput experimental results. PomBase uses GO slims to provide a simple summary of S. pombe’s biological capabilities by grouping gene products using broad classifiers.

The table below shows terms in the current fission yeast cellular component GO slim, and the number of annotations to each term. GO IDs link to PomBase ontology term pages. The annotation totals link to pages with information about the term and a list of annotated genes.

Further information is available from the PomBase GO slim documentation and additional pages linked there. You can also download a list of current GO component slim IDs and term names from the PomBase FTP site.

PomBase GO Slim Usage Tips

General GO Slim hints

These points will help you understand GO slims, and highlight some features of the fission yeast slim terms and annotations.

  1. Note that the counts in the “Genes” column of the GO slim tables are not additive, because many gene products are annotated to multiple terms.
  2. It not possible to create a slim with no overlaps between terms. Although the fission yeast slims have been defined to include biologically informative terms, and minimise overlaps between terms, large overlaps cannot be entirely avoided. For example, most of the gene products annotated to signal transduction are also annotated other terms in the slim.
  3. As a consequence of points 1 and 2, GO slim annotation summaries should not be presented using pie charts. Although a pie chart could show the fraction of total annotations for any slim term, it can too easily be mistaken for the fraction of total annotated gene products, which is not the same.
  4. It is difficult to define a slim which includes all annotated gene products without including terms with very small numbers of annotations (for example, the peroxisome organization branch has very few annotations), or very high level terms which are not particularly biologically informative (e.g. cellular process). Because we have opted not to include such terms, some gene products are annotated to terms but do not appear in the slim annotation set for each ontology (especially biological process).
  5. Bear in mind that both proteins and RNAs can be annotated to GO terms. If you are working only with proteins you will need to make adjustments for this. For example, many tRNAs and rRNAs are annotated to cytoplasmic translation, and are therefore included in the slim set.
  6. There is a difference between “unknown” and “unannotated”. All fission yeast and budding yeast gene products have been assessed and are classed as “unknown” for biological process if no biological process information is found (experimental or inferred). If you are making comparisons with other organisms, remember that it is possible that not all gene products have been assessed and that the “unknown” set is underestimated.
  7. The default fission yeast slim lists include all evidence codes for fission yeast. The evidence code IEA (inferred from electronic annotation) is often considered to be less accurate than other evidence codes, but it is very useful for increasing the coverage of some of the high level GO terms. Accurate annotation counts for some terms currently depends on including this evidence code (for example, there are 16 gene products annotated to transmembrane transport with IEA evidence, which are not yet covered by a manual annotation). For S. pombe*, the IEA annotations improve slim coverage, but only represent a small number of annotations (519 biological process annotations as of May 2020), and have a low rate of false positives. We therefore recommend that you include them.

Creating a user-defined slim

  1. You can create your own slim, or retrieve slim annotations for a gene set, using online slimming tools such as the GOTermMapper at Princeton or QuickGO Explore Biology at EBI (note that QuickGO requires UniProtKB accessions; PomBase IDs will not work).
  2. When creating a slim for the entire genome, you should try to ensure that it covers as many annotated genes in your set as possible (see #3 in the list above). You should be aware of how many genes are annotated but not in your slim, and how many are “unknown” (i.e., annotated only to the root node; see #5 above).
  3. For display purposes you usually want to keep the number of terms as small as possible to convey your results. However, you should ensure that the terms you include are specific enough to capture biologically relevant information. Many terms (e.g. metabolic process (3229 annotations), cellular process (4581 annotations)) are too general for the purpose of most slim-based analyses.
  4. On a related note, if you are using your slim for data analysis (e.g. to summarize an enrichment), you should ensure that the terms are specific enough to demonstrate their relevance to the biological topic of interest. For example, lumping all genes involved in transport my mask overrepresentation of transmembrane transport vs. underrepresentation of vesicle-mediated transport in your results set, so you need to ensure that the slim has categories to represent your results effectively.
  5. Most current implementations of software to create “GO slims” include the regulates relationship by default, so that (for example) genes involved in regulation of cytokinesis will be included with the set of genes annotated to cytokinesis. See the GO Ontology Relations documentation for further information about relationships in GO. The annotation totals presented for the default S. pombe process slim in PomBase, by contrast, are calculated explicitly including the genes which are involved in a process via regulation only. We expect the distinction to be available in future versions of slimming software.

Fission yeast GO Molecular Function slim

A “GO slim” is a subset of the Gene Ontology terms selected for a specific purpose in interpreting large-scale data, such as functional annotation of a genome or high-throughput experimental results. PomBase uses GO slims to provide a simple summary of S. pombe’s biological capabilities by grouping gene products using broad classifiers.

The table below shows terms in the current fission yeast molecular function GO slim, and the number of annotations to each term. GO IDs link to PomBase ontology term pages. The annotation totals link to pages with information about the term and a list of annotated genes.

Further information is available from the PomBase GO slim documentation and additional pages linked there. You can also download a list of current GO function slim IDs and term names from the PomBase FTP site.

Fission Yeast Phenotype Ontology

PomBase curators develop and use the Fission Yeast Phenotype Ontology (FYPO) to annotate phenotypes of mutant alleles and of over- or under-expressing wild type genes.

The contents and structure of FYPO are described on the FYPO wiki) at GitHub and in the publication:

Harris MA, Lock A, Bähler J, Oliver SG, Wood V. FYPO: The Fission Yeast Phenotype Ontology. Bioinformatics. 2013 July 1;29(13): 1671–1678. PubMed abstract (PMID:23658422) or Full text at Bioinformatics

Browsing FYPO terms

At present, FYPO is included collections such as the National Center for Biomedical Ontology’s BioPortal and EBI’s Ontology Lookup Service (OLS), both of which allow searching and browsing.

We hope to deploy a browser at PomBase in the not-too-distant future that will include annotations as well as terms.

Finding FYPO terms and annotations in PomBase

FYPO terms are displayed on PomBase gene pages, along with supporting evidence and allele and expression details, as described in the PomBase gene page documentation.

The PomBase advanced search can use either term names or IDs to search FYPO, and returns a list of genes that have alleles annotated to the specified term or any of its descendants. For example, see the FAQ on finding essential genes.

Curating phenotypes with FYPO

The PomBase online curation tool, Canto, uses FYPO terms for annotation of S. pombe phenotypes. Phenotype curation documentation is available via Canto.

Submitting Bulk Data

If you have a large set of phenotype data to submit, you may want to do a bulk submission. See the documentation on the recommended file format, and use the Phenotype Data Submission Form.

Fission Yeast Phenotype Ontology slim

A “slim” is a high-level subset of terms from an ontology, used to analyze sets of annotated genes. The table below shows a slim set of grouping terms that we have selected from the Fission Yeast Phenotype Ontology (FYPO) and the number of annotations to each term. FYPO IDs link to PomBase ontology term pages. The annotation totals link to pages with information about the term and a list of annotated genes. A gene may be included in the annotation sets for more than one slim term.

Browse curation

2006 GeneDB S. pombe survey, question 16 responses

If you could add one feature to the database immediately, or improve one feature immediately, what would it be?

  1. Location of the genes based on their chromosomal positions.
  2. sequence variation in S. pombe related strains
  3. Links to S. cerevisiae and other eukaryotic databases for orthologues etc.
  4. Adding protein/gene interaction data. Either biochemical or from synthetic interaction studies.
  5. -
  6. Improve the link to microarrays results to obtain an easier view of the microarrays results, including the mutant strains
  7. Sequences of upstream 1000bp + gene sequences + downstream 1000bp
  8. Epigenome information!!
  9. Improve the gene search tool by including full-text genepage search. Add transcriptional regulatory motifs of genes.
  10. Promoter Motif Finder
  11. Add phenotypes.
  12. direct link to orthologs
  13. mainly I want to know the best homolgues in S. cerevisiae, C.elegans and mammals.
  14. mutant and deletion phenotypes
  15. as indicaeted above
  16. The web page needs to be more attractive.
  17. More information on the gene functions curated from the literature.
  18. the sited literature for a specific gene.
  19. transcription start and stop
  20. Link to find orthologs of my pombe gene of interest in other species directly from the "Gene Page."
  21. Add phylogenetic trees
  22. I want to download the datasets for ORFs and chromosomal elements in a format that I can directly import into a relational database such as MS Access. Any tab-delimited format is fine, but the ORF start and stop on the chromosome coordinates AND the gene aliases (or blank spaces) need to be linkable and to import consistantly. The current format is unusable because, for example, the names in some lines are not tab-delimited spaces in all of the other lines where no name exists. The unique identifier for all elements needs to be on all tables. We need such information to do our own whole-genome searches and mutageneses.
  23. looks easier
  24. 3' UTR data
  25. Quick access to a specific gene in the choromosome map. Quick access to the cosmid sequence that contains a specific gene.
  26. The Gene Description would be more informative. Especially when you use the LIST Download feature.
  27. genome browser - needs to be more user friendly
  28. Making it easy to access to available resources such as mutant strains, plasmids for gene expression; probably by adding links to cooperative researchers or institutions (for example, NBRP in Japan http://yeast.lab.nig.ac.jp/nig/english/index.html).
  29. useful
  30. Finding orthologues. Integrating orthiologue´s information Comparing two or more genes for expression profiles or other features
  31. I like SGD very much
  32. Make it more easy to identify a query sequence by Blast. You often get the name of a cosmid, instead of teh name of the gene
  33. Microarray datasets
  34. improved more user-friendly motif searching
  35. A tool tp search protein-protein interaction database
  36. addition of a function: mapping of two genes, quick calculation of intergenic distance between linked genes.
  37. the information from the sequencing for plasmid vs cosmid is confusing. e.g. you find your gene and blast search a region of it within the pombe sequence, for example to check that a primer only binds to your gene and not elsewhere. the ID for the hits (which should be 100% matching with your gene) are the plasmid numbers which don't correspnd to the cosmid number which makes things a bit confusing and requires you to browse through all the balst hits (e.g. the systematic gene name - SPCC###.##). Maybe when you see results of the blast the systematic gene names/cosmid could be immediately visible rather than the plasmid name?
  38. better links to other orthologs ie. human
  39. Don't know
  40. interacting factors if known (genetic and physical)
  41. FASTA format of sequence data not punctuated by space
  42. email addresses of experts for the gene
  43. Phenotypes of the mutant
  44. Improve Gene Ontology Annotaions. It is often not trivial to track down why a specific term is associated with a gene. Thi smay just be my lack of knowledge about how to correctly use the resource.
  45. gene boundary: where on the chromosome a gene start and where it ends (promoter and transcription termination signal).
  46. phenotype information
  47. Two things actually: 1. To have chromosomal position along with contig position. 2. Consolidated information about interacting partners and/or functional partners.
  48. Ability to search for partial systematic ORF names
  49. protein- protein interaction
  50. more clear identification of physical distances between pairs of genes
  51. Add transcriptional regulatory regions of genes
  52. qq
  53. Overview of UTRs
  54. Direct links to major publications for genes.
  55. microarray data
  56. show orthologs with % similarity and sequence alignments
  57. transcript start/stop
  58. add a clustal multiple alignment tool, to compare all orthologues of a given fission yeast gene.
  59. Full text literature annotation with references to all mutant alleles of a gene and phenotypes of the mutants (often a paper contains information on mutant alleles that is not reflected in the abstract) note: There are many features I consider a very close second in priority.
  60. Easy access to genome/proteome interaction studies
  61. otholog sequence alignment, such as clustal and shown as box-shadowing type.
  62. description of mutant phenotype and available alleles, description of localisation
  63. It would be very helpful to have a section on published mutants for each gene along with a reference. Often I would like to know what kind of mutations of a particular gene have been constructed and what their phenotypes are. If there was a brief compilation of that data in one place it would make GeneDB much better.
  64. Link the gene names that appear in Blast searches to the genedb page for that gene so that the info on the gene is jus a click away.
  65. List Download
  66. I find the graphic interface of amiGO to be very difficult to use. I really have never found it to be useful. It also has mistakes in process names. For example it refers to the transposons as Ty1 not the true name Tf1.
  67. ability to download gene sequence data from the gene page, plus the ability to add a specified distance of the sequence either side of the gene. For example, retrieving sequence data for gene Y plus 0.5 Kb of sequence either side.
  68. something that alows me to look at at gene in the genome, then click on said gene and expending it into its DNA sequence along with adjacent sequence
  69. It would be helpful to be able to get sequence of gene plus bases up and downstream, as with SGD, instead of having to look through the cosmid library
  70. protein interactions
  71. x
  72. Direct access link to PombePD under some form of licensing or one off fee pricing model (although nocost is obviously the ideal).
  73. blast features, display of results in the form of map like in cerevisiae geome project
  74. Mutant phenotypes and protein interaction data
  75. to become like pombePD
  76. Direct link to NCBI/Entrez
  77. Protein regulation
  78. (1)possibility of easily carrying out certain predictions manually, like prediction of subcellular localisation, introns, homologues. This would enable the user to test how good the predictions are and if there are alternative possibilities. (2)facility for getting a list of genes with similar expression profiles ; also more DNA microarray data (e.g. DNA damage) (3) better (i.e. more complex) facility for searching the whole set of genes: e.g. enable the user to specify a number of 'ideal' criteria of a gene/protein (combination of pI, size, expression profile, protein domains, kinase motifs, other sequence motifs, predicted subcellular localisation), which would then return a set of genes/proteins that best fulfill these criteria, without necessarilly fulfilling all of them. Such a feature would be very useful in the identification of very distant homologues that are not easily identified in Blast searches.
  79. More informations on phenotypes
  80. Community annotation/discussion
  81. easier access to batch downloads of gene/protein information and more information on what it exactly is (how it was constructed)
  82. I find it very good. For my purposes all the available features are already a lot. I understand however the need for supporting curation of annotation and constant update. This of cours requires more than one curator and appropriate funding.
  83. Phenotype data
  84. Phenotypes of deletion mutants
  85. Search information by gene list
  86. SDS PAGE mobility
  87. No comments
  88. Complete list of phenotypes
  89. no
  90. metabolic pathway maps tuned to yeast
  91. Position of the introns into the sequence add as colored letters
  92. -
  93. I would like to wish to get also the information of the S.cerevisiae gene name of the respective gene
  94. To easy up data down-loads: where to find what
  95. interactions (Y 2 H) IP info for each gene genetic interactions (null, slow growth)
  96. An end-to-end searchable gene map of each chromosome (or contig), so that I can easily see what genes are closely linked to my gene-of-interest.
  97. Make it easier
  98. --
  99. integrated resource for accessing all microarray data
  100. Completion of the genome sequence, with linking of all contigs and addition of telomeres.
  101. somewhat more details on the phenotype
  102. Add mutant phenotype description on each Gene Page
  103. Annotate phenotypes associated with a given gene (deletion, mutants, overexpression, doublemutants,..)
  104. clear literature summary
  105. Phenotypes and lit
  106. IDs of and links to physical and genetic interaction partners.
  107. Results of prerun BLAST against other organisms with links built in to other publicly available databases.
  108. don't know
  109. Provide the ORF+ 1KB upstream and 1 Kb downstream of genes
  110. I would be useful to have the identity/similarity % with homologs of each gene compared to other organisms
  111. phenotypes, and genetic and physical interactions as is found in SGD and YPD would make the database hugely more powerful.
  112. when we could access PombePD the cross referencing between orthologues in Worms, humans and cerevisiae was so useful. YOGY has been great but it would be good if it was linked into Wormbase, SGD more so you could move between Gene pages in different organisms more quickly.
  113. Web services for better integration with BioPerl and automated scripts in general.
  114. Description of homologues in higher organisms.
  115. Information on transciption start and stop sites and promoter elements.
  116. No Thanks
  117. more microarray datasets
  118. mutant gene phenotype and genetic interactions
  119. Better hyperlinks to look at orthologues in other organisms
  120. Having easy access to information about regulatory motifs and promoters for each gene.
  121. phosphorylation site predictor
  122. Integrating GBrowse with expression data.
  123. Probably better links to as much as possible of published literature relating to the gene, so one can read the details of a gene of interest when the gene name is not mentioned explicitly in the abstract of the paper. however, this could be huge for some genes such as cdc2.
  124. I would change the genome browser to be based on chromosomal coordinates rather than contig coordinates. Right now I'm using the "chromosome" assembly of the genome. Since your implementation of gbrowse does not allow genome browsing based on chromosomal coordinates, I've been using this one that does: http://fungal.genome.duke.edu/cgi-bin/gbrowse/spom/ . I understand that the chromosomal coordinates may not be as precise, but if they're good enough to create chromosome assembly files, why not just allow people to access the genome that way as well? I think that's what most people have come to expect from genome browsers elsewhere.
  125. Add a Candida albicans GeneDB and a Cryptococcus neoformans GeneDB.
  126. curated (or non-curated) interaction grids genetic, physical, text mining based. with links to data
  127. identification of genes with human orthologues especially causing disease
  128. Non-coding sequences, particularly replication origins.
  129. Identification of transcription units.
  130. Be able to get alignments of my favorite gene with the closest ortologs directly
  131. To show the homolog names in other model organisms
  132. Direct X-ref to SGD
  133. Graphic Interface
  134. More GO curation
  135. UTR data for genes

2006 GeneDB S. pombe survey, question 17 responses

How have the data and curation helped your research? Please provide specific examples and publications if possible. These examples will be helpful to secure future funding.

  1. "Published expression profiles" has been very useful and informative.
  2. It helped me to study some genome wide approche.
  3. Vey useful and crucial for our reserach, especially downloads for microarray work, browsers, GO terms etc and also gene name issues
  4. Invaluable to most of my research. Example publications which have relied on this: Aves SJ et al. (2002) The mei3 region of the Schizosaccharomyces pombe genome. Yeast 19, 521-527 Hunt C et al. (2001) Subtelomeric sequence from the right arm of Schizosaccharomyces pombe chromosome 1 contains seven permease genes. Yeast 18, 355-361 Xiang Z et al. (2000) The mating-type region of Schizosaccharomyces pombe h-S 972: sequencing and analysis of 69 kb including the expressed mat1 locus. Yeast 16, 1061-1067 Xiang Z et al. (2000) Analysis of 114 kb of DNA sequence from fission yeast chromosome 2 immediately centromere-distal to his5. Yeast 16, 1405-1411
  5. Helpful on a daily basis-I can't imagine trying to work without it!
  6. Vital for gene searches.
  7. -
  8. I used this data to choose gene as probe for the northern blot, to choose oligos for the PCRs, to have a general view of the phenotypes in mutants strains, to confirm, or not, previous results.
  9. 1. Search for S. cerevisiae orthologues 2. pubilished literatures of interesting genes 3. News of S. pombe community (e.g. conferences)
  10. We searched the genedb database for genes with no homologs in cerevisiae as candidates for RNAi mediated chromatin modification machinery and are currently knocking them out and assaying their effect.
  11. web sites
  12. Helped to understand my data and identify links to homologs/orthologs in other species, especially budding yeast.
  13. The genome wide deletion project has used the annotated sequence ( Wood et al Nature 2002) as the basis for constructing the deletions. The deletion database is linked to gene DB and the bioinformatic tools will be used for analysis of the deletion dataset
  14. For our research we use the pombe gene DB everyday, we use the SMART program, Fasta, consult the expression profiles from the microarrays etc. Tajadura, V., García, B., García, I., García, P., and Sánchez, Y. (2004) " Schizosaccharomyces pombe Rgf3p is a specific Rho1-GEF that regulates cell wall b-glucan biosynthesis through the GTPase Rho1p? Journal of Cell Science 117: 6163-6174 García-Cortés, J. C., Carnero, E., Ishiguro, J., Sánchez, Y., Duran, A. and Ribas, J. C.(2005) "The novel fission yeast (1,3)-a-D-glucan synthase catalityc subunit Bgs4p is essential during both cytokinesis and polarized growth ? Journal of Cell Science 118: 157-174 García, I., Jiménez, D., Martín, V., Durán, A. Sánchez, Y. (2005) " Agn1p, a putative a-1,3 glucanase, is required for cell separation in Schizosaccharomyces pombe? Biology of the Cell 97: 569-576 García, I., Martín, V., Tajadura, V., Toda, T. and Sánchez, Y. (2006) "Synthesis of a?glucans in fission yeast spores is carried out by three a-glucan synthase paralogs, Mok12p, Mok13p and Mok14p? Mol Microbiol. 59:836-853. García, P., Tajadura, V., García, I., and Sánchez, Y. (2006) ?Rgf1p is a specific Rho1-GEF that coordinates cell polarization with cell wall biogenesis in fission yeast? Molecular Biology of the Cell. 17:1620-1631
  15. identification and structural analyses of putative genes ...
  16. I use genedb to access sequence information easily which I can then use to design primers/constructs for my research. I also use it to obtain information quickly about genes that I am interested in such as the motif information.
  17. cloned a gene. testing linkage.
  18. The database is an essential part of our "gene discovery" studies. Examples in which the database has facilliated our studies include: 1. Martin, V., Chahwan, C., Gao, H., Blais, V., Wohlschlegel, J., Yates 3rd, J.R., McGowan, C.H., Russell, P. (2006) Sws1 is a conserved regulator of homologous recombination in eukaryotic cells. EMBO J. in press. 2. Martín, V., Rodríguez-Gabriel, M.A., McDonald, W. H., Watt, S., Yates 3rd , J.R., Bähler, J., Russell, P. (2006) Cip1 and Cip2 are novel RNA-Recognition-Motif proteins that counteract Csx1 function during oxidative stress. Mol. Biol. Cell. 17, 1176-1183. 3. Noguchi, E., Noguchi, C., McDonald, W. H., Yates, J. R. 3rd,, Russell, P. (2004) Swi1 and Swi3 are components of a replication fork protection complex in fission yeast. Mol. Cell. Biol. 24, 8342-8355. 4. Saitoh, S., Chabes, A., McDonald, W. H., Thelander, L., Yates 3rd, J. R., Russell, P. (2002). Cid13 is a cytoplasmic poly(A) polymerase that regulates ribonucleotide reductase mRNA. Cell 109, 563-573.
  19. Current work on newly identified cytoskeletal proteins. Cell cycle analysis. Phenotype & Protein Complex analysis for understanding mechanisms across species.
  20. The data allowed us to make specific gene knockouts and fusions. Publications are in preparation, but not yet available. Please put an announcement link of how to submit such publications on the S.pombe GD entry page and we can submit them as they come in. We only started working in S. pombe because the genome was finished and partially annotated.
  21. Genome sequence. J Cell Sci. 2004 May 1;117(Pt 11):2283-93.
  22. The curation correctly suggested that what we had previously thought one large gene was in fact two closely-spaced genes (cid14 and pfs2). This information was vitally important for two recent publications: 1. Win, T. Z., Draper, S., Read, R. L., Pearce, J., Norbury, C. J. & Wang, S. W. Requirement of fission yeast Cid14 in polyadenylation of rRNAs. Mol Cell Biol 26, 1710-21 (2006). 2. Wang, S. W., Asakawa, K., Win, T. Z., Toda, T. & Norbury, C. J. Inactivation of the pre-mRNA cleavage and polyadenylation factor Pfs2 in fission yeast causes lethal cell cycle defects. Mol Cell Biol 25, 2288-96 (2005).
  23. It helped me to find bgs4+ and clone it from its cosmid. It has been published in: The novel fission yeast (1,3)beta-D-glucan synthase catalytic subunit Bgs4p is essential during both cytokinesis and polarized growth. (2005) J. Cell Sci. 118:157-174. It also helped me to delete bg3+ and to find many things of myosin II proteins, heavy, light and regulatory proteins.
  24. I've used the LIST Download feature to help me curate a database for microarray analysis.
  25. Facilitated identification by microarray hybridization of gene clusters regulated by TFIIH-associated kinase in fission yeast (Lee et al., Mol. Biol. Cell 16:2734-2745, 2005). Enabled mass spectrometric identification of subunits of fission yeast Cdk9 complex, ortholog of mammalian P-TEFb (Pei et al., Mol. Cell. Biol. 26: 777-788, 2006).
  26. We have done many genetic screens, cloned genes from libraries, done a small amount of sequencing and then used GeneDB to identify the gene. Many publications have resulted from this type of strategy.
  27. It is fast and easy to find information on genes that I find a new interest in, before I devote time and energy to learn more. There is good information about potential protein interactions, and it is wonderful to have information all in one place and format.
  28. In our reaserch using MS-specs to identify the interactants with a protein of our interest of which expression is restricted only during sporulation, links to microarray data provided by Dr. Bahler's team were very helpful to select candidates to focus on.
  29. with information for my work
  30. It has been fundamental to many research projects in my lab, in particular to the following ones: Blanco, M., Pelloquin, L. and Moreno, S. (2001). Fission yeast mfr1 activates APC and coordinates meiotic nuclear division with sporulation. J. Cell Sci. 114, 2135-2141. Cueille, N., Salimova, E., Esteban, V., Blanco, M.A., Moreno, S., Bueno, A. and Simanis, V. (2001). Flp1, the fission yeast orthologue of the S. cerevisiae CDC14 gene, is not required for cyclin degradation or rum1p stabilisation at the end of mitosis. J. Cell Sci. 114, 2649-2664. Pérez-Hidalgo, L., Moreno, S. and San Segundo, P. (2003). Regulation of meiotic progression by the meiosis-specific chechpoint kinase Mek1 in fission yeast. J. Cell Sci. 116, 259-271. Martín-Castellanos, C., Blanco, M., Rozalén, A.E., Pérez-Hidalgo, L., García, A.I., Conde, F., Mata, J., Ellermeier, C., Davis, L., San-Segundo, P., Smith, G.R. and Moreno, S. (2005). A large-scale screen in S. pombe identifies novel genes required for meiotic recombination and chromosome segregation. Curr. Biol. 15, 2056-2062.
  31. We have done an screening in which expression profile during sexual diferentation and gene information have been constantly checked out. Data from our screening have been added to the data base. During the course of the project the data base gave us up-dating information about genes that were in study by other groups.
  32. It has proved invaluable for identifying new genes, predicting possible gene function, strain engineering, and plasmid construction. This is an essential tool for our research, and has played a part in every one of our publications in the last few years (approximately 10 papers in prominent journals).
  33. this is a crucial tool for all experiments. at the most basic level, finding regions of homology to genes of interest in other organisms and to genes identified in screens in pombe is indispensable. this should be self-evident to funding agencies and the value of pombe research is obvious from the numerous concepts and insights gained from it. can't have pombe research without this data and curation.
  34. It is very easier to find a gene and get nucleotide and amino acid sequences than other databases. This database is very useful to speculate its function, lacalization etc, because it contains biochemical information, such as domain motif.
  35. Current research on snoRNAs
  36. design of all molecular biology/ cloning and protein analysis
  37. very helpful. use often for designing tagging constructs
  38. It has been very useful to focus my research in proteins wich have cell-wall caracteristics because in my lab we are interested in this kind of proteins. (Alonso-núñez et al. Mol Biol Cell. 2005 Apr;16(4):2003-17)
  39. Huang, Y., Garrison, P.N., and Barnes, L.D. Molecular cloning of the Schizosaccharomyces pombe gene encoding diadenosine 5', 5"'-P1, P4-tetraphosphate (Ap4A) asymmetrical hydrolase: sequence similarity with the histidine triad (HIT) protein family. Biochem. J. 312, 925-932 (1995). Ingram, S.W., Stratemann, S.A., and Barnes, L.D. Schizosaccharomyces pombe Aps1, a diadenosine 5', 5"'-P1, P6-hexaphosphate hydrolase that is a member of the nudix (mutT) family of hydrolases: cloning of the gene and characterization of the purified enzyme. Biochemistry 38, 3649-3655 (1999). Safrany, S. T., Ingram, S. W., Cartwright, J. L., Falck, J. R., McLennan, A. G., Barnes, L. D., and Shears, S. B. The diadenosine hexaphosphate hydrolases from Schizosaccharomyces pombe and Saccharomyces cerevisiae are homologues of the human diphosphoinositol polyphosphate phosphohydrolase: the significance of the overlapping substrate specificities in a mutT motif. J. Biol. Chem. 274, 21735-21740 (1999) Ingram, S. W. and Barnes, L. D. Disruption and overexpression of the Schizosaccharomyces pombe aph1 gene and the effects on intracellular diadenosine 5', 5'''-P1, P4-tetraphosphate (Ap4A), ATP, and ADP concentrations. Biochem. J. 350, 663-669 (2000)
  40. extremely useful as an everyday tool e.g. for designing primers and retrieving an overview of genes of interest
  41. Don't know
  42. I have used the data to get the sequences to clone S. pombe orthologs; also used the expression profile data ;and also identify the functions of many genes thht I have identified in my microarray experiments. We have just submitted a paper including all this information.
  43. To know the position of a gene on the genome, Entrez Genome Map Viewer is insufficient and not useful, so GeneDB Genome Browser is necessary for my work.
  44. finding homologs designing deletions designing epitope tagging
  45. Mostly in gathering information on proteins identified in genetic screens and by MS analysis of purified protein complexes.
  46. We have performed numberous genetic screens. We only needed very short sequences to find out what genes we had actually isolated. A few examples of these are as follows: Chen et al 1999; Chen et al 2000; Yen and Chang 2000; Papadaki et al 2002; Yen et al 2003.
  47. The database allows me to do all of my recombinant DNA work very quickly and rapidly screen the role of various proteins in cell division. I've only started using it recently (I just started my postdoc postion), but have used it so much I couldn't imagine where I would find the information if this was unavailable.
  48. 1. I have been doing a lot of search with LTRs, I love the BLUE colour easy to see LTRs in Artemis. They have made my life so much easier. 2. Ease of getting different amount DNA sequence at each end of the 'gene of interest', is extremely useful for genomic analysis and Southern blots. 3. Many references cited are extremely useful, e.g. about non-coding RNA (prl. I may have never seen that otherwise!
  49. GeneDB is instrumental in quickly locating general information about all pombe genes, in addition to valuable bioinformatic tools.
  50. The database has helped me to look up lists of genes I identify in the screens. In general, it's very helpful whenever I encouter a fission yeast gene which I don't know well about. Although these things are possible by other means (such as NCBI), GENE DB for S.pombe is so far most convenient as I need not to eliminate any entry of genes of any other organisms.
  51. I am doing a lot of work on bioinformatics analysis of the mitotic cell cycle in various organisms. GeneDB is my reference database for S. pombe. I have published one paper specifically on the analysis of S. pombe data (PMID:16544289) for which GeneDB was extensively used.
  52. excellent teaching tool
  53. Identification of specific domains. Identification of homolgoues (Lorenz et al., 2004).
  54. They are central to everything we do!
  55. qq
  56. I have screened an insertion library and cloned sequences by inverse pcr and used the database to identify loci and find about whether they are relevant candidates
  57. finding orthologs, creating primers for tagging and knockouts
  58. We have done a large proteomic screen of fission yeast protein. the annotation data was invaluable. The study is submitted for publication: Comparative proteomic and transcriptiomic profiling of the fission yeast Schizosaccharomyces pombe Michael W. Schmidt1,2, Andres Houseman3, Alexander R. Ivanov1,2 Dieter A. Wolf1,2 Address: 1 NIEHS Center for Environmental Health Proteomics Facility, 2 Department of Genetics and Complex Diseases, 3 Department of Biostatistics, Harvard School of Public Health, 665 Huntington Avenue, Boston, Massachusetts, 02115, USA;
  59. Used gene annotations to map DNA replication origins. Sequence data used for mapping origins, for identifying DNA sequence features (AT-hook domains), for mapping AT-rich islands. GeneDB regularly used as a first resource for characterisation of genes of interest as well as a resource for links to related databases.
  60. We used the database to annotate our custom genome tiling arrays. No publications yet.
  61. in general I use this database most frequently to do most of my work
  62. the blast tool on S. pombe GeneDB was crucial for me to identify in fission yeast the orthologous subunits of a transcriptional complex conserved from budding yeast to humans.
  63. The data and curation have been essential for my research. The data and curation have contributed significantly in grant writing and experimental design and for routine S. pombe molecular biology (i. e. for genetic crosses, we can see if two genes are likely to be linked, the database is our primary source of information for making gene mutations and disruptions and allows us to check if we might accidentally affect a neighboring gene with predicted functions). My three most recent papers simply would not exist without this resource. They are 1) Oliva A, Rosebrock A, Ferrezuelo F, Pyne S, Chen H, Skiena S, Futcher B, Leatherwood J., The cell cycle-regulated genes of Schizosaccharomyces pombe. PLoS Biol. 2005 Jul;3(7):e225. 2) Zhou C, Arslan F, Wee S, Krishnan S, Ivanov AR, Oliva A, Leatherwood J, Wolf DA., PCI proteins eIF3e and eIF3m define distinct translation initiation factor 3 complexes. BMC Biol. 2005 May 17;3(1):14. 3) Averbeck N, Sunder S, Sample N, Wise JA, Leatherwood J., Negative control contributes to an extensive program of meiotic splicing in fission yeast. Mol Cell. 2005 May 13;18(4):491-8. Two of these papers involve microarray analyses and the resource was used extensively in design of the microarrays themselves and even more extensively in interpretation of the microarray data. We typically use JavaTree free-ware to view cluster analyses of microarray data and we have this configured to link directly to the S. Pombe GeneDB. Our future use will rely much more heavily on the GO annotations as they become more complete and refined. Our recent publications often use the Sanger database as a reference for groups of related genes or even gene functions rather than referencing a long list of primary papers. For genomics studies, such a common accesable and stable resource is essential. The third of the recent papers, published in Molecular Cell, does not contain microarray data, but it too would have been completely impossible without the Sancer Center Pombe Information resources. We used information in many different ways to guide our discovery of a major program of splicing regulation during S. pombe meiosis that is reported in this paper. The resource is also proving absolutely essential to our progress in studying replication timing in S. pombe. In particular, Artemis has been invaluable. I often prefer to do blast searches via the Sanger center rather than NCBI, though the convenient links to NCBI and other resources such as SGD are quite appreciated Finally, I depend on the resource when I receive S. pombe related papers for review. Even for non - S. pombe related questions, I often think of a relevant gene-name for S. pombe and not for other organisms and so I can quickly find out what the ortholog may be and this sometimes gives me useful insights or background knowledge.
  64. Use quite frequently to screen for new enzymes/binding domains. See Sanders et al Cell 2004
  65. Very convenient database. I use it more as a reference information source than as bioinformatic tools.
  66. It helped me to find and compare the differents sequences of genes or proteins of the family Bgs. Its is useful to find their expresion patrons.
  67. To build KO strains and identify putative homologous proteins.
  68. It has allowed me to easily access protein and DNA sequence for molecular work such as constructing knockouts or tagged proteins. Curation helps give insight as to what is known about gene of interest and its homologs and paralogs which help decide which direction to take with experiments.
  69. Get info quickly
  70. Analysing centromeres and telomeres Analysing specific gene regions. Retrieval of information and sequnce of Rad21 and other genes/orf analysed. Bernard P, Maure J.F., Partridge J.F., Genier S, Javerzat J.P., Allshire R.C. (2001) Requirement of heterochromatin for cohesion at centromeres. Science. 294:2539-42. Retrieval of information and sequnce of Chp1 and other genes/orf analysed. Partridge J.F., Scott K.S.C., Bannister, A.J., Kouzarides T., and Allshire R.C. (2002) A cis-acting element from the fission yeast mediates histone H3 methylation and recruitment of silencing factors and cohesin to an ectopic site. Curr Biol. 12: 1652. Retrieval on information and sequences features of H3/H4 .1/.2/.3 genes/ORFs Mellone, BG, Ball L, Suka N, Grunstein MR, Partridge JF, Allshire RC. (2003) Centromere silencing and function in fission yeast is governed by the amino terminus of histone H3. Curr Biol. 13: 1748-57. Retrieval on information and sequences features of Sim4 gene/ORF Pidoux, AL, Richardson, W, Allshire R.C. (2003) Sim 4: a novel fission yeast kinetochore protein required for centromeric silencing and chromosome segregation. J. Cell Biol. 161: 295. Retrival of information and features of various SET proteins in the S. pombe genome: Sanders, S. L., Portoso, M., Mata, J., Bahler, J., Allshire, R. C., and Kouzarides, T. (2004). Methylation of histone H4 lysine 20 controls recruitment of Crb2 to sites of DNA damage. Cell 119, 603-614. Retrieval of information and sequences feature of rpb7: Djupedal, I., Portoso, M., Spåhr, H., Bonilla, C., Gustafsson, C. M., Allshire, R. C. and Ekwall, K. (2005). RNA Pol II subunit Rpb7 promotes centromeric transcription and RNAi-directed chromatin silencing. Genes Dev. 19, 2301-2306.
  71. The data has been very helpful in order to allow for the research of gene sequences, homologous genes, for searching for genes that have several nomenclatures like mto1, mod20 and mbo1 which are the same gene.
  72. In 2002 we published a paper on the insertion sites of the retrotransposon Tf1. We sequenced the DNA flanking the insertions and were able to determine their position in the genome using your blast tools. In addition, the annotations of each gene were very useful in analyzing the insertions.
  73. I use it routinely as a start-point for the analysis of any S. pombe gene.
  74. our pombe work is as yet unfunded
  75. Gene structure (introns, exons), amplification of cDNA, targeting, interacting partners
  76. cloning-retrieveing sequences protein expected sizes pI basic informations about function
  77. yes! We do fission yeast proteomics and the data base helped us in every aspect of our work
  78. The data and curation have been fundamental to all my recent publications.Without this these publications would not have been possible. Greenall A, Williams ES, Martin KA, Palmer JM, Gray J, Liu C, Whitehall SK. (2006) Hip3 interacts with the HIRA proteins Hip1 and Slm9 and is required for transcriptional silencing and accurate chromosome segregation. J Biol Chem. 281(13):8732-9. Blackwell, C., Martin, K.A., Greenall, A., Pidoux, A. Allshire, R.C. & Whitehall, S.K. (2004) The S. pombe HIRA-like protein Hip1 is required for the periodic expression of histone genes and contributes to the function of complex centromeres. Mol. Cell. Biol. 24: 4309-4320. Stiefel J., Wang, L., Kelly, D.A., Janoo, R.T.K., Seitz, J., Whitehall, S.K. & Hoffman, C.S. (2004) Isolation and characterization of suppressors of an adenylate cyclase in the fission yeast Schizosaccharomyces pombe. Euk. Cell 3: 610-619. Borrelly, G.P.M., Harrison, M.D., Robinson, A.K., Cox, S.G., Robinson, N.J. & Whitehall, S.K. (2002) Surplus zinc is handled by Zym1 metallothionein and Zhf endoplasmic reticulum transporter in S. pombe. J. Biol Chem. 277: 30394-30400. Greenall, A., Hadcroft, A.P., Malakasi P., Jones N., Morgan B.A., Hoffman C.S., & Whitehall S.K. (2002) Role of the fission yeast Tup1-like repressors and the Prr1 transcription factor in the response to salt stress Mol. Biol. Cell. 13: 2977-2989.
  79. Identification of homologues for membrane-trafficking genes, including some in S.cervisiae which we suspected may be represented in S.pombe. This has allowed construction of GFP fusions, and determination of phenotypes; we've managed to dissect part of the previously-unknown cvt pathway for vacuolar targetting in recent months as a result.
  80. Quick identification of S. pombe homologues of genes from other species. This has formed the basis of much of the group's current work. This would be possible without GeneDB but much more laborious.
  81. The meiotic expression profile of genes is very useful to know the character of the isolated genes, which might be involved in meiotic progression. Kitajima, T. S., Kawashima, S. A. and Watanabe, Y. The conserved kinetochore protein shugoshin protects centromeric cohesion during meiosis. Nature 427, 510-517 (2004). Yokobayashi, S. and Watanabe, Y. The kinetochore protein Moa1 enables cohesion-mediated monopolar attachment at meiosis I. Cell 123, 803-817 (2005)
  82. Necessary background for the day by day work in the lab: design of new experiments, construction of strains etc.
  83. Identification of homologues and of interesting characteristics, as yet unpublished.
  84. Data was vital for Identification and verification of microarray targets
  85. Data and curation are essential for our research on a day to day basis.
  86. Very important to identify homologues
  87. I used the information for cross species comparisons of expression data (manuscript in prep)
  88. I have been helped and supported in the context of a collaborative study with Jurg Bahler group on cisplatin injury response that has been published in Cell Mol Life Sciences 61:2253-2263, 2004 - Gatti L et al.I strongly feel that model organisms like fission yeast could improve the understanding of processes relevant to the cure of cancer i. e pathways activated by antitumor drugs in mammalian cells (see Perego P et al., Pharmacol Reviews 52: 477-491, 2000.
  89. Quick and easy access to commonly required gene and sequence information.
  90. Peng et al (2005) Mol. Biol. Cell 16:1026 Bimbo et al (2005) Euk. Cell 4:799-813
  91. Gene expression microarrys data: this allowed us to know that chs2 (a gene with similarity to Chitin Synthases genes that codifies a protein lacking such catalythic activity) was being expressed in vegetative cell cycle in fission yeast-it was not a pseudogene. To gain basic (and quickly)information about genes with which chs2 presents genetic interaction. Publications: ?In Schizosaccharomyces pombe chs2p has no chitin synthase activity but is related to septum formation?. Martín García, R.M., Durán, A., Valdivieso, M.H. 2003. FEBS Letters 549: 176-180. -?The fission yeast Chs2p interacts with the type-II myosin Myo3p and is required for the integrity of the actomyosin ring?. Martín García, R.M., Valdivieso, M.H. 2006. J.Cell Science. (In Press).
  92. Annotations of some bgs genes helped in their cloning and deletion.
  93. no
  94. essential for validation of gene regulatory network inference from microarray data
  95. to identify microarrays candidates (to annotate), functions by homology Look for sequences of gene, to design primer, design fusions ...
  96. identification of the spombe homolog of Ace2 (Martín-Cuadrado et al (2003) J. Cell Sci. 116, 1689-1698)
  97. I found out that a second homologue of my gene of interest exist and have therefore started to analyse this in addition.
  98. Have been immesely useful in identifying orthologues for proteins studied in other organisms. The DB is also very important for obtaining first glance information on expression profiles in various conditions.
  99. mRNA expression profile (meiosis) helped a lot to decide on certain genes to include in a complex finding strategy.
  100. sequence info for genertaing KOs and tagged genes comparisons to yeast microarray data for groups of genes with similar expression profiles gene function descriptions link to forsburg page for plasmid info etc
  101. Yes, enormously. Too many examples to list.
  102. The Fission Yeast Database is an essential tool for all the research done in my lab. Most if not all of the publications from my lab. have in some way or another relied on information from it. I do not believe I could continue research using this model organism in the post-genomic era without this facility.
  103. The domain structure prediction gave us an idea of the function. Tajadura et al. 2004 Journal of cell Science
  104. Curation of GO terms is essential for all work with pombe. GeneDB is an essential resource
  105. The data and curation are continually helpful, because they permit me to quickly evaluate what is know about each new fission yeast gene that I come across.
  106. very helpful for my research since i started working with homologs of budding yeast knowing nothing about them in fission yeast
  107. Gene and genome evolution
  108. My students are using the DB much more extensively than I, almost on a daily basis, for primer design, search for chromosomal locations of cosmids for the use as FISH probes, etc. For them, and hence for the group it is indispensable.
  109. All my research and publications for the last several years were not possible without the S. pombe database. I use the database everyday to determine which gene I should work on and retrieve its sequence information to design strategies for gene disruption and gene tagging. Also easy to retrieve DNA and protein sequences for homolog search and analyze domain structures of proteins.
  110. 1. Sequence retrieval to design PCRs and blast genome for primer sequences. 2. GO annotations to identify groups of genes (e.g. localizing to the nuclear envelope). This as a starting point for litterature searches and definition of hypotheses.
  111. it helps enormously to have all information at the same place, to find the right sequence, micro-arry data and so on
  112. This resource has saved time in cloning genes, analyzing plasmids that have rescued mutant strains, etc.
  113. writing my mini master's thesis...it helped me find relevant papers
  114. Orthologue relationships have been used in informal validation of automated orthologue prediction methods. GO annotation is being used in validation of bioinformatic predictions of functional linkage between gene products. The latter has previously only been systematically tested for S. cerevisiae and only with protein complexes (Barker D & Pagel M, 2005, PLoS Comput Biol, 1, 24-31).
  115. Find Artemis extremely useful in design of primers for homologous recombination and for determining relevant gene regulatory regions.
  116. - identification of structural and functional features of pombe genes and proteins - identification of pombe homologs to genes of ther organisms - correlation of gene orders and genetic distances with physical map - planning of recombination analysis along chromosomes and at specific genes: Gregan et al (2005) Novel genes required for meiotic chromosome segregation are identified by a high-throughput knockout screen in fission yeast. Curr Biol, 15 1663- 1669, several publications in preparation
  117. The expression pattern profiles have helped to identify my genes of interest.
  118. It is the first place to search when moving onto a new field and gives information on where to continue looking for data. After carefully looking through all the infomration and all teh links on the gene of interest I get a very good picture of the function of teh gene.
  119. Virtually every one of our publications has benefited enormously from having the easily accessible annotated genome information easily available. Examples are listed below. B√§hler, J., Steever, A.B., Wheatley, S., Wang, Y-L., Pringle, J.R., Gould K.L., and McCollum, D. (1998). Role of polo kinase and Mid1p in determining the site of cell division in fission yeast. J. Cell Biol. 143:1603-1616. Feoktistova, A., McCollum, D., Ohi, R., and Gould, K. L. (1999). Identification and characterization of Schizosaccharomyces pombe asp1+, a gene which interacts with mutations in the Arp2/3 complex and actin. Genetics. 152:895-908. Sparks, C.A., Morphew, M., and McCollum, D. (1999). Sid2p, a spindle pole body kinase that regulates the onset of cytokinesis. J. Cell Biol. 146:777-790. McCollum, D., Balasubramanian, M., and Gould, K.L. (1999). Isolation of cold-sensitive actin mutants defective for cytokinesis and polarized cell growth in fission yeast. FEBS Lett. 451:321-326. Guertin, D., Chang, L., Irshad, F., Gould, K.L., and McCollum, D. (2000). The role of the Sid1p kinase and Cdc14p in a novel signaling pathway that regulates the onset of cytokinesis in fission yeast. EMBO J. 19:1803-1815. Hou, M.C., and McCollum, D. (2000). Mob1p interacts with the Sid2p kinase and is required for cytokinesis in fission yeast. Curr. Biol. 10:619-622. Trautmann, S., Wolfe, B.A., Jorgensen, P., Tyers, M., Gould K.L., and McCollum. D. (2001). Fission yeast Clp1p phosphatase regulates G2/M transition and coordination of cytokinesis with cell cycle progression. Curr. Biol. 11:931-940. Wang, H., Tang, X., Liu, J., Trautmann, S., Balasundaram, D., McCollum, D., and Balasubramanian, M. (2002). The multiprotein exocyst complex is essential for cell separation in Schizosaccharomyces pombe. Mol. Biol. Cell. 13: 515-529. Guertin, D.A., Venkatram, S., Gould, K.L., and McCollum D. (2002). Dma1p prevents mitotic exit and cytokinesis by inhibiting the Septation Initiation Network (SIN). Dev. Cell. 3:779-790. Hou, M.C., Wiley, D.J., Verde, F., and McCollum, D. (2003). Mob2p interacts with Orb6p kinase to promote coordination of cell polarity with the cell cycle progression. J. Cell Sci. 116:125-35 Jin, Q.-W., and McCollum, D. (2003) Scw1p antagonizes the septation initiation network to regulate septum formation and cell separation in fission yeast. Euk. Cell. 2:510-520. Hou, M.-C., Guertin, D.A., and McCollum, D. (2004) Initiation of Cytokinesis is Controlled through Multiple Modes of Regulation of the Sid2p-Mob1p Kinase Complex. Mol. Cell. Biol. 24:3262-3276. Mitra, P., Zhang, Y., Rameh, L., Ivshina, M., McCollum, D., Nunnari, J., Hendricks, G., Kerr, M., Field, S., Cantley, L., and Ross, A. (2004). A Novel Phosphatidylinositol(3,4,5)P3 Pathway in Fission Yeast. J. Cell Biol. 166:205-11. Mishra M, Karagiannis, J., Trautmann, S., Wang, H., McCollum, D., Balasubramanian , M.K. (2004). The Clp1p/Flp1p phosphatase ensures completion of cytokinesis in response to minor perturbation of the cell division machinery in Schizosaccharomyces pombe. J Cell Sci. 117:3897-910. Trautmann, S., Rajagopalan, S., and McCollum, D. (2004) The S. pombe Cdc14-like phosphatase Clp1p regulates chromosome bi-orientation and interacts with aurora kinase. Dev. Cell. 7:755-62 Trautmann, S., and McCollum, D. (2005) Distinct nuclear and cytoplasmic functions of the S. pombe Cdc14-like phosphatase Clp1p/Flp1p and a role for nuclear shuttling in its regulation. Curr. Biol. 15:1384-1389.
  120. In the last 4 years we have published 2 papers in J Biol Chem and 1 in Molecular Cell for which pombe gene database has been invaluable.
  121. Link to microarray data base is extremely useful. We have found that pof1 is highly induced by cadnium, which led to publicatoin in EMBO J. (2005, Harrison et al.).
  122. General improvement in speed and efficency by combining data into a single resource so that it reduces time spent searching primary literature or general gene databases to locate information. This is especially important working in a smaller institute where because of limited local library facilities much of the information is not available without delays ordering reprints or contacting authors.
  123. No Thanks
  124. I was able to conduct an in silico promoter analysis to predict my protein's binding sites in the genome.
  125. when quoting a gene of interest in a publication it is easy to check the basic properties of the gene (function, location) and to find rapidly the relevant publications.
  126. Helped a lot. Since the sequencing project was completed a lot of my research has been domain driven ie finding the function of a particular domain then looking for other pombe orf's which also contain this domain.eg UBA domain, Ubx domain, UBL domain Wikinson et al 2001, Nat Cell Biol, Vol3, 939-943. Hartmann-Petersen et al, 2004, Current Biology, Vol14, 824-828.
  127. It is definitely an important tool, I do not want to miss. It is indispensable for planning crosses and design diverse constructs (deletions, tags, artificial markers for recombination assays, and so on), do bioinformatic searches and check orthologs in other organisms. I actually cannot, and fortunately do not have to, imagine how cumbersome it would be to get all this information without a very well maintained and curated database such as the pombe geneDB.
  128. The unification of gene names among data is essential for combining data from various sources. I think GeneDB is the only manager for S.pombe gene names.
  129. In general terms GeneDB has vastly improved the efficiency of my work. It allows me to get a handle on a gene of interest as soon as that gene has been identified as interesting.
  130. Producing primers for construction of microarray data. Annotation of microarray datasets. Finding and annotating pombe orthologs.
  131. Mostly we use it for designing primers for tagging and deletion, especially to know about upstream and downstream regions, and also to ensure that we do not disrupt or affect neighboring genes. Essentially all publications from my lab use this. Here are some publications: Snaith, H.A. and K.E. Sawin (2003) Fission yeast mod5p regulates polarized growth through anchoring of tea1p at cell tips. Nature 423:647-651. Sawin, K.E., P.C.C. Lourenco, H.A. Snaith (2004) Microtubule nucleation at non-spindle pole body microtubule-organizing centers requires fission yeast centrosomin-related protein mod20p. Curr. Biol. 14:763-775. Samejima, I., P.C.C. Lourenco, H. A. Snaith, K.E. Sawin (2005) Fission yeast mto2p regulates microtubule nucleation by the centrosomin-related protein mto1p. Mol. Biol. Cell 16:3040-3051. Snaith, H.A., I. Samejima, K.E. Sawin (2005) Multistep and multimode cortical anchoring of tea1p at cell tips in fission yeast. EMBO J. 24:3690-3699.
  132. The sequence and annotation data for the genome was the starting point for our new oligonucleotide microarray using 70-mers for each annotated exon, intron, and 3' UTR. It would not have been possible without it.
  133. The gene name for S. pombe alpha-glucanases was changed from my personal preference 'agl' to the reserved gene name 'agn' during the review process of our manuscript Mol. Biol. Cell. 2004; 15: 3903-14 (see title), based on comments of an anonymous reviewer who recommended to keep gene names consistent within the S. pombe community. I now double-check your list carefully before submission of a new manuscript.
  134. Quick at a glance, searches of Genes-of-interest e.g. candidate comes up in a screen. Additional validation for the hit is quickly needed. Information from geneDB is crucial. Also Comparisions of conserved pathways in different organims is important and GeneDG is a place where you comfortably find data over several model organisms,
  135. identification of human disease homologue (Gachet et al 2005)
  136. It is absolutely mandatory to have a very reliable database to carry on research in any lab.
  137. Finding information on genes of interest
  138. Allowed us to identify Nbs1 (Chahwan 2003 MCB 23:6564), the RNAi machinery (Sigova 2004 G&D 18:2359) and replication origins (Patel 2006 MBC 17:308). None of these could have been done by simple BLAST searches.
  139. We have used it extensively for information regarding genes we identify and for predicting possible candidate genes together with our mapping experiment. I use it to quickly access ORF sequences to use in PCR primer designs. In the past few years, the research or writing of these papers heavily depended on access to GeneDB. Curr Genet. 2006 Feb 21; [Epub ahead of print] Genetics. 2006 Feb 19; [Epub ahead of print] Genetics. 2005 Dec;171(4):1523-33. Epub 2005 Sep 2. Proc Natl Acad Sci U S A. 2005 Apr 26;102(17):6108-13. Epub 2005 Apr 14. Eukaryot Cell. 2004 Jun;3(3):610-9. Eukaryot Cell. 2002 Aug;1(4):558-67. Genetics. 2001 Mar;157(3):1205-15. Genetics. 2001 Mar;157(3):1159-68. Genetics. 2000 Oct;156(2):513-21.
  140. since inception it has influenced in some way, all of my publications http://www.paulgyoung.com/gradbrochure.htm
  141. Example: we conducted a screen for novel replication mutants (Gomez. angeles and Forsburg, Genetics 2005). This required that we identify the gene corresponding to the mutant. We did this by cloning from a genomic library; naturally tehre were multiple genes per clone. The curation was invaluable in sorting out likely candidates for novel or known replication genes.
  142. Find orthologues of my genes of interest
  143. Yes, all the information I need about sequences, consensus sites, and more I have it from Sp database. I add publications were to make the work I had the information from Sp database. .- Maribel Sánchez-Piris,Francesc Posas, Vicenç Alemany, Ingerborg Winge, Elena Hidalgo, Oriol Bachs and Rosa Aligue. The serine/threonine kinase Cmk2 is a target of the Sty1 MAPK and is required for oxidative stress response in fission yeast. Journal of Biological Chemistry 227: 17722-17727. 2002. .- Vicenç Alemany, Maribel Sánchez-Piris, Oriol Bachs and Rosa Aligue. Characterization of Cmk2, a new serine/threonine kinase in fission yeast. FEBS Letters 524:79-86. 2002 .- Sandra López-Avilés, Maribel Grande, marta González, Oriol Bachs and Rosa Aligue. .- Sandra López-Avilés, Marta González, Asse-Lill Helgesen, Maribel Grande, Vicenç Alemany, Maribel Sanchez-Piris, Oriol Bachs, Jonathan Millar and Rosa Aligue. Regulation of the Cdc25 phosphatase by the stress-activated kinase Srk1 in fission yeast Molecular Cell 17: 49-59. 2005.
  144. It has made it easier to quickly check gene information, resulting in less wasted time in searching multiple databases for bits of information

2006 GeneDB S. pombe survey, question 18 responses

Do you work experimentally on any other organisms in addition to fission yeast for your area of research, and if so which? (list all, including fission yeast, in order of relative importance to your work/degree of use)

  1. S. cerevisiae
  2. No
  3. S. japonicus (starting soon) fission yeasts of different geographical origins (starting soon)
  4. S. pombe S. cerevisiae
  5. Fission yeast mouse and human cells
  6. fission yeast, budding yeast
  7. fission yeast: characterization of protein probably implicated in stress response E. coli: clone and protein purification
  8. fission yeast budding yeast
  9. Schizosaccharomyces pombe E. coli Saccharomyces cerevisiae
  10. Fission yeast Budding yeast E.coli
  11. S. cerevisiae C.elegans Mice
  12. Fission yeast
  13. fission yeast budding yeast mammalian cells
  14. No
  15. Fission yeast Human cell tissue culture Xenopus oocytes
  16. No.
  17. fission yeast stem cells
  18. Primary organism: S. cerevisiae - 80% of lab Secondary organism: S. pombe - 20% of lab
  19. no
  20. Xenopus egg extracts
  21. fission yeast human cell lines zebrafish
  22. I only work on fission yeast.
  23. fission yeast, mammalian tissue culture cells
  24. human fission yeast mouse (cell culture) Drosophila
  25. Fission yeast Saccharomyces cerevisiae
  26. only fission yeast
  27. No, only fission yeast right now
  28. fission yeast budding yeast E. coli insect cell
  29. Fission Yeast Caenorhabditis elegans Saccharomyces cerevisiae
  30. Only fission yeast
  31. S. cerevisiae E. coli C. neoformans
  32. fission yeast budding yeast
  33. fission yeast budding yeast
  34. no
  35. Tomato
  36. none
  37. No, i don't
  38. 1.fision yeast 2.e.coli
  39. S. pombe E.coli S. cerevisiae
  40. budding yeast
  41. Caenorhabditis elegans
  42. no - there's only one true model organism ;-)
  43. S. pombe E. coli
  44. S.pombe Candida spp. s.cerevisiae Phaffia rhodosima Mucor circinelloides
  45. I also work on S. cerevisiae. But presently, I am focussing on the use of S. pombe as a model organism.
  46. fission yeast
  47. fission yeast human cell lines mice
  48. fission yeast human cells Aspidoscelis spp
  49. We also use mammalian tissue culture cells, such as HeLa, NIH3T3, and MCF7 cells. S. pombe remains our major model organism.
  50. fission yeast mammalian cell culture mice budding yeast
  51. fission yeast only, though I often compare protein sequences from different organisms to identify conserved regions- usually human and budding yeast
  52. Fission yeast Mammalian cell lines
  53. No.
  54. no
  55. I don't do experimental work
  56. fission yeast budding yeast
  57. Fission yeast
  58. fission yeast
  59. qq
  60. Fission yeast mammalian cells budding yeast
  61. no
  62. Pombe
  63. no
  64. fission yeast E.coli
  65. 1. fission yeast 2. budding yeast
  66. 1) fission yeast 2) budding yeast
  67. Sometimes in S. cerevisiae
  68. Fission yeast only
  69. No
  70. Drosophila S2 cells 1%
  71. No.
  72. no
  73. no
  74. fission yeast
  75. The lab I am in does (budding yeast) but I only work with S. pombe.
  76. S. pombe E. coli
  77. S. pombe E. coli
  78. mammalian cells pombe zebrafish
  79. budding
  80. Budding yeast Fission yeast
  81. saccharomyces cerevisiae
  82. buddin yeast
  83. Very occasionally we are forced to look at S. cerevisiae...
  84. Schizosaccharomyces pombe Saccharomyces cerevisiae
  85. Fission yeast S. pombe Fission yeast S. japonicus
  86. Fission yeast only
  87. Budding yeast HeLa cell
  88. Taphrina wiesneri
  89. no
  90. Fission yeast Budding yeast E. coli B. cereus
  91. no
  92. S. cerevisiae S. Pombe
  93. none
  94. Arabidopsis fission yeast budding yeast H. sapiens bacteria
  95. Human tumor cell lines (60%) Bacterial strains for cloning purposes (30%) Yeast strains (10%) Such percentages are dependent on specific projects. At the time of a specific collaborative effort focus on yeast was 70%
  96. No
  97. fission yeast
  98. Fission yeast Saccharomyces cerevisiae
  99. budding yeast
  100. No, ONLY S.pombe
  101. No at this point.
  102. No
  103. no
  104. fusion yeast lactobacillus
  105. Schizosaccharomyces pombe Saccharomyces cerevisiae
  106. no
  107. S. pombe S. cerevisiae C. albicans
  108. S. pombe S. cerevisiae (mostly in past) human zebrafish (in future) mouse (in future)
  109. Budding yeast Fission yeast The relative importance is likely to shift to Fission yeast soon.
  110. Fission yeast
  111. fission yeast
  112. Fission yeast Haloferax volcanii (if only there was an equivalent database for that organism...)
  113. no
  114. fission yeast mammalian cell lines budding yeast
  115. fission yeast budding yeast
  116. Fission yeast, Budding yeast, Rice
  117. Candida albicans Yarrowia lipolytica Saccharomyces cerevisiae Schizosaccharomyces pombe
  118. C. elegans S. cerevisiae
  119. No.
  120. fisson yeast budding yeast
  121. fission yeast C.elegans (nematode) Caulobacter crescentus (bacteria)
  122. fission yeast Drosophila
  123. fission yeast, budding yeast
  124. bioinformatically (on fully sequenced genomes) - fission yeast, bakers yeast, other fungi, eukaryotic parasites, eukaryotes in general, prokaroytes.
  125. no
  126. Fission yeast mammalian tissue culture cells cryptococcus neoformans Pichia pastoris
  127. no
  128. S. pombe S. cerevisiae
  129. no
  130. No
  131. FISSION YEAST E. COLI B. SUBTILIS
  132. S.pombe, C. elegans and S.cerevisiae
  133. So far only fission yeast
  134. No
  135. S. cerevisiae S. pombe B. subtilis
  136. No Thanks
  137. fission yeast
  138. no
  139. fission yeast budding yeast
  140. no
  141. Collaborate with cereviae workers.
  142. Fission yeast Budding yeast (two-hybrid only so far)
  143. I'm a programmer for the microarray group here, so my work can vary. So far, it's only been on fission yeast and budding yeast, but that will likely change in the future. Right now, I've worked on fission yeast the most, I'd say.
  144. (1) S. pombe, (2) S. cerevisiae, (3) Candida albicans, (4) Cryptococcus neoformans.
  145. Mouse Fission yeast Mammalian Cell culture models Drosophila Schneider S2 cells S. cerevisiae
  146. fission yeast mammalian cells C. elgeans
  147. Fission yeast, budding yeast and higher eukariotic cells
  148. Mammalian cells, rodent and human
  149. Only fission yeast
  150. No
  151. Only fission yeast
  152. Fission Yeast Budding Yeast Xenopus
  153. S. cerevisiae S. pombe
  154. RARELY S cerevisiae, mammalian cells
  155. Xenopus laevis
  156. Fission yeast 80% mammalian culture cells 20%
  157. no

2006 GeneDB S. pombe survey, question 19 responses

Please provide any additional comments and information about the current resource which you feel were not covered by this survey

  1. -
  2. I often use published literatures of my interesting genes. I sometimes found that some literatures was not related to the gene I was interested in. One thing I noticed was that the same name was shown in those papers. Gene expression profiles are very usful. If possible, I would like to see the links of other eukaryotic orthologues not just only S. cerevisiae orthologues.
  3. Genedb is a great resource. It is amazing that such a fantastic resource has been built so quickly with such limited funding. I hope that it can be extended as it provides a very valuable resource for the community.
  4. the access to the site and downloading information is very slow at times.
  5. It is an excellent resource.
  6. I cannot understand what some of the items or screens are that you refer to in question 4? What is a context map? Some of the others required me to guess, even after looking at web page to answer this survey. I suggest approaching the answers to this question with caution. As a budding yeast researcher, SGD has been a godsend for our speed of work. The closer you get to this level of functionality, the better S. pombe will be as an experimental system.
  7. Val and the people who work on the database are very helpful in terms of answering questions and helping with specific problems.
  8. form stonger ties/links with SGD and other yeast databases
  9. Most up-to-date information in pombe community
  10. Set the default sequence download range to span only the gene ORF, with options to extend up or downstream.
  11. great resource - thanks v much!
  12. NA
  13. Not all the data published is curated.
  14. It would be useful to suggest promoter region, if possible. This is necessary when we plan to clone the genomic version of the gene for expression study.
  15. Thank you
  16. I think it is a wonderful source...Long Live GeneDB!!!
  17. This is an essential service which must be maintained to the highest standard.
  18. qq
  19. This is an absolutely essential resource for our community. Valerie Wood had done a truly remarkable job so far. She is proactive in seeking input from the community and she is also very responsive to our needs and suggestions. It is clear that she cares that this database and resource should be of the highest quality, though I cannot imagine how she accomplishes all that she does. It seems to me that this project must require many many qualified people. I don't know how many additional people are involved. Valerie Wood has always been the person to respond to us when we have requested information or guidance.
  20. This is a fantastic resource for teh fission yeast community and should be maintained and continually improved.
  21. It seems to me the most valuable tool to include in this database is a comprehensive collection of annotations with references to the literature. This will require continous updating.
  22. S. pombe GeneDB does not appear to have the gene sequence for the mating type plus information (mat2 sequence for h+), is this because the genome sequence was from a h- strain? I think that the plus genes should be added.
  23. none
  24. important resource !
  25. The data base is wonderful. We all appreciate the administration very much.
  26. none
  27. I found it very well organized
  28. No comments
  29. no
  30. - very important resource, like the new YOGY a lot. - need easier community annotation, literature linking (e.g. for specific genes mentioned in own papers, authors could link them to YOGY resource directly, rather than waiting for the indexing services to put it there as a general reference only).
  31. In general DNA regulatory elements are very badely annoted in the pombe data base. For example, whereas the mating locus organisation is very well known, it still very difficult to find in the pombe genome data base (using artemis)where mat1, 2 and 3 are exactely located.
  32. genetic interactions physical interactions
  33. The Fission Yeast database is an ESSENTIAL part of the bioinformatic framework of S.pombe genome analysis.
  34. --
  35. GeneDB is a minimal resource which is essential for modern fission yeast research. Even so many things are missing and need to be built out.
  36. its fine
  37. I'm just starting this postdoc in pombe. I have recently joined pombelist (1 month), and so I cannot comment about many of the services. In general, I have found it to be useful although my use of it has been limited. Perhaps its greatest utility is by linking the pombe community? I anticipate using the database a great deal in the coming months, and I will be happy to report back in the future on my experiences.
  38. Another point for the wish list: genetic and physical intaractions would be very helpfull too...
  39. none
  40. please provide web services
  41. The current resource does not have logical species coverage. It just covers what the Pathogens Sequencing Unit have been working on. An S. pombe-based resource would be more relevant and even more useful than the current resource, and is essential for smooth rational progress of research with this important model organism.
  42. Val Wood does an outstanding job keeping the database updated and informing the Pombe community about changes to GeneDB. Her hard work has made this database an invaluable resource for the fission yeast research community.
  43. Protein localisation
  44. So far GeneDB is supurb. Sometimes I find pombe GeneDB is better than budding yeast equivalent. I hope that the Sanger Centre continues to make effort to impove this important resource. It is essential for our research and community.
  45. This has really become an essential resource for S. pombe research even for an occaisional user like myself.
  46. Since we use S. cerevisiae as our primary research organism, I am a frequent visitor to the SGD homepage. I would benefit a lot if the primary pombe and cerevisiae pages would have a similar structure/navigation and have similar features.
  47. No Thanks
  48. Maybe I missed it but I would appreciate a possibility to download GO terms (including parents) using the ListDownload feature.
  49. Keep up the good work!
  50. I think joining up with Saccharomyces would be a good idea.
  51. Thanks for all the work you do in bringing fission yeast up to the level of "model organism". Keep up the good work!
  52. Please note that the genomes of all four yeasts mentioned have been sequences and that inclusion of these yeasts would be extremely helpful for cross-species analyses.
  53. aim for database to facilitate/increase the usefulness of pombe as a model organism -for human disease, for conserved genes and gene families
  54. The people associated with this are exceptional. In particular Val Wood is quick to respond to questions and comments and has provided us with considerable support and information. She is acknowledged in both of our 2006 papers for significant intellectual contributions.
  55. The GeneDB is an absolutely inevitable knowledge resource for the pombe researchers.
  56. very valuable resource and essential for the pombe community
  57. The GeneDB front end works very well.
  58. It is absolutely essential to secure funding for this !!!!

Participating groups & Annotated papers

This table summarizes the results of the pilot project that preceded the Fission Yeast Community Curation Project. The first phase of the project began in January 2009, and the second in November 2009. We thank all of the researchers who participated for making the pilot project a success.

PMID Laboratory Submitter if different GO terms Interactions Phenotypes Other curation Total Date
PHASE 1                
19101542 Peter Folk Martin Převorovský 19 0 15 3 37 2009-01-04
19098712 Juan Mata   3 7 0 1 11 2009-01-04
19076239 Paul Russell   5 0 2 2 9 2009-01-04
18675827 Per Sunnerhagen   2 1 3 0 6 2009-01-06
17353264 Chris Norbury   2 0 0 0 2 2009-01-06
19057642 Luis Rokeach             2009-01-04
19056896 Fred Winston Dom Helmlinger           2009-01-04
19041767 Peter Espenshade John Burg 4 2 2 1 9 2009-01-04
18556659 Kevin Hardwick   16 16 2 0 34 2009-01-06
18430926 Charlie Hoffman   4 0 2 0 6 2009-01-06
17304215 Hiroshi Iwasaki   2 5 9 19 35 2009-01-06
18426916 Hiro Yamano Michelle Tricky 2 1 2 1 6 2009-01-06
19037101 Nick Rhind Nicholas Willis 7 6 7 0 20 2009-01-06
19001497 Ken Sawin Lynda Groocock 9 6 2 1 18 2009-01-06
18368917 Steve Aves             2009-01-06
18799626 Takashi Toda   2 3 3 0 8 2009-01-06
19109429 Stephen Kearsey   9 2 2 0 13 2009-01-06
17688408 Susan Forsburg             2009-01-06
17409062 Iain Hagan             2009-01-06
19139281 Tony Carr Edgar Hartsuiker           2009-01-15
18065650 Per Sunnerhagen   5 2 4 0 11 -
18406331 Kaz Shiozaki   4 4 1 1 10 2009-01-15
19139265 Kathy Gould Rachel Roberts 8 11 1 1 21 2009-01-17
19197239 Benoit Arcangioli   2 0 4 0 6 2009-02-10
19328067 Rob Fisher   5 4 2 25 36 2009-04-20
19330768 Katya Grishchuk             2009-04-20
19217404 Robin Allshire             2009-04-20
19217403 Paul Russell Jessica Williams 5 7 3 0 15 2009-04-20
19362535 Janet Partridge             2009-04-20
19250904 Songtao Jia Bahrat Reddy 4 2 2 2 10 2009-03-01
19373772 Jeremy Hyams Isabelle Jourdain 5 1 6 0 12 2009-04-20
19299465 Sara Mole             2009-04-20
19299465 Julie Cooper             2009-04-20
19286980 Stevan Marcus             2009-04-20
19033386 Iain Hagan             2009-04-20
19351719 Luis Rokeach Pascale Beauregard 2 1 1 0 4 2009-04-20
19160458 Ken Sawin             2009-04-20
19211838 Nick Rhind Mary Porter-Goff 2 2 8 0 12 2009-04-20
19273851 Ramsay Macfarlane   1 0 1 0 2 2009-04-20
19243310 Takashi Toda   2 4 1 0 7 2009-04-20
19158663 Peter Espenshade   2 1 1 0 4 2009-04-23
19237545 Henar Valdivieso   1 1 3 0 5 2009-04-23
18562692 Jonathan Miller             2009-04-23
16143612 Charlie Hoffman   0 8 0 0 8 2009-04-23
15448137 Wayne Wahls   15 0 0 5 20 NONE
18375981 Wayne Wahls   1 0 0 0 1 NONE
9391101 Wayne Wahls   2 0 0 0 2 NONE
7518718 Wayne Wahls   2 0 0 0 2 NONE
7958849 Wayne Wahls   7 6 0 0 13 NONE
19542312 John Armstrong James Dodgeson 18 0 16 0 34 NONE
                 
PHASE 2                
19620282 Simon Whitehall             2009-11-23
19643199 Jeramy Hyams Isabelle Jourdain           2009-11-23
19436749 Wayne Wahls             2009-11-23
19627505 Henar Valdivieso   1     4 5 2009-11-23
19664060 Stuart Macneill             2009-11-23
19686603 Stuart Macneill             2009-11-23
19666000 Murakami             2009-11-23
19646873 Fulvia Verde             2009-11-23
19714215 Jurg Bahler   5 4 5 2 16 2009-11-23
18923417 Nick Boddy             2009-11-23
18667531 Nick Boddy             2009-11-23
19686339 Luis Rokeach             2009-11-23
17114925 Danesh Moazed             2009-11-23
19707600 Felicity Watts             2009-11-23
19394293 Danesh Moazed             2009-11-23
18574244 Peter Baumann             2009-11-23
19520858 Peter Espenshade   9 1     10 2009-11-23
18503029 Peter Espenshade     1     1 2009-11-23
19427212 Anna Paoletti             2009-11-23
18223116 Simon Labbe             2009-11-23
19915076 Simon Labbe             2009-11-23
19571115 Shelly Sazer             2009-11-23
18272791 Rosa Aligue             2009-11-23
19838064 Jan Paluh   3 29 9 4 55 2009-11-23
19696784 Takashi Toda   2 3 2   7 2009-11-23
17409354 Elena Hidalgo   14 7 3 2 26 2009-11-24
19416828 Jacob Dalgaard             2009-11-24
19473263 Mathias Sipiczki             2009-11-24
19836238 Caroline Wilkinson             2009-11-24
18252721 Caroline Wilkinson             2009-11-24
17986863 Erik Boye   2 0 3 0 5 2009-11-24
20531409 Juan Mata   3 90 0 0 93 N/A
19720063 Nimisha Sharma   2 3 3 2 10 2009-11-23
19625445 Jose Cansado             2009-11-23
19486165 Takayoshi Kuno Yue Fang 2 10 4 0 16 2009-11-23
19713940 Kentaro Nakano Masakatsu Takaine 4 2 2 0 8 2009-11-24
19409973 Kurt Runge             2009-11-24
                 
                 

The Fission Yeast Community Curation Project

Comprehensive manual curation of the S. pombe literature is a primary goal of the PomBase project, and among the most important activities of the curation staff. Increasing numbers of new publications, and a large backlog of older papers, however, mean that complete literature curation will require input from the research community as well as the efforts of dedicated professional curators.

The PomBase Community Curation system enables researchers to contribute annotations directly to PomBase based on their publications using Canto, a web-based tool that allows both curators and researchers to create annotations. Canto supports GO, phenotype, interaction, and modification annotations, and can be configured for use with other ontologies as the need arises. Annotations made in the community curation system will be prioritized for inclusion in PomBase and will therefore also be more rapidly disseminated to other databases (e.g. GenBank/ENA/DDBJ, UniProtKB, BioGRID and GO), making data from annotated papers widely visible.

How to contribute: For newly published papers, PomBase curators email authors inviting them to participate, with specific instructions and links. Lab members are also welcome to evaluate existing annotations and create new annotations from past publications — use the PubMed ID search on the main PomBase Canto page. Anyone can also try the demo version of Canto.

Progress and attribution: Curation statistics track S. pombe papers curated in Canto by PomBase and community curators, and the annotations obtained. Canto will soon allow contributors to register ORCID identifiers in the system, which will support more formalised attribution of community contributions to PomBase, and thereby enable researchers to cite community curation in institutional reports, funding applications, etc. To supplement the existing permanent publication-centred links in Canto, we are currently investigating possible ways to link to external resources such as ORCID or OpenRIF via ORCID IDs.

Further reading: For an in-depth analysis of our approach, and the status of community curation as of early 2019, see our publication:

Lock A, Harris MA, Rutherford K, Hayles J, Wood V.
Community curation in PomBase: enabling fission yeast experts to provide detailed, standardized, sharable annotation from research publications. Database (Oxford) 2020 Jan 1;2020. pii: baaa028.
PMID:32353878 DOI:10.1093/database/baaa028

For a bit of historical perspective, you can browse the results of the Community Curation Pilot Project that took place in 2009.

Fission Yeast Community

S. pombe Community Websites

Ontologies

Interactions, Pathways and Networks

Sequence Analysis Tools

General tools

Sequence Features, Protein Families, Orthologues

Gene Expression

Experimental tools

  • PRIMED Primers for deleting and tagging yeast genes (S. pombe and S. cerevisiae; scroll to bottom of page for downloadable spreadsheets)

Strains and Constructs

Experimental protocols

S. cerevisiae Resources

2006 survey for GeneDB S. pombe

1. How often do you use S. pombe GeneDB?

  Response Percent Response Total
Every day 18.2% 66
A few times a week 52.9% 192
A few times a month 25.1% 91
On rare occasions 3.9% 14
Total Respondents 363
(skipped this question) 0

 

2. For what type of work do you use GeneDB?

  Response Percent Response Total
To access annotation, curation and analysis for my gene(s) of interest 91.2% 331
To identify candidate genes in my field of interest 74.7% 271
Bioinformatics research 44.9% 163
Teaching 8.3% 30
Other 4.4% 16
Total Respondents 363
(skipped this question) 0

 

3. Which GeneDB features and associated tools do you use?

  frequently occasionally rarely never I have not seen this feature Response Total
The Gene Page 83% (301) 14% (52) 2% (7) 0% (1) 1% (2) 363
AmiGO Gene Ontology (GO) browser 12% (43) 31% (112) 30% (109) 19% (68) 9% (31) 363
Blast Tools 45% (165) 33% (121) 13% (46) 8% (28) 1% (3) 363
Boolean Query Tool 5% (19) 14% (50) 23% (85) 31% (114) 26% (95) 363
List Download 9% (31) 26% (95) 25% (89) 25% (89) 16% (59) 363
Expression links 26% (96) 34% (123) 17% (62) 12% (45) 10% (37) 363
YOGY (Retrieval of eukaryotic orthologs) 13% (48) 26% (93) 23% (83) 18% (67) 20% (72) 363
User defined 'Motif Search' 14% (51) 24% (87) 27% (99) 21% (75) 14% (51) 363
Browsable Catalogues (products, curation, Pfam) 18% (66) 29% (104) 26% (94) 19% (69) 8% (30) 363
Artemis (genome browser) 23% (84) 28% (102) 25% (89) 15% (53) 10% (35) 363
GBrowse (genome browser) 10% (36) 26% (94) 27% (98) 23% (84) 14% (51) 363
Gene Name Registry 9% (33) 22% (80) 31% (114) 28% (102) 9% (34) 363
Cross-organism search page 11% (39) 35% (126) 27% (99) 15% (53) 13% (46) 363
Total Respondents 363
(skipped this question) 0

4. Which GeneDB features and associated tools do you use?

  very useful useful not very useful not at all useful I have not seen this feature Response Total
General information 77% (279) 22% (81) 0% (1) 0% (0) 1% (2) 363
Location 53% (191) 40% (144) 6% (20) 1% (3) 1% (5) 363
Context map 43% (157) 44% (158) 8% (28) 2% (6) 4% (14) 363
Curation, and curated ortholog data 46% (166) 42% (153) 6% (23) 0% (1) 6% (20) 363
Predicted peptide properties 37% (136) 46% (167) 10% (35) 1% (2) 6% (23) 363
Gene Ontology annotation 33% (118) 47% (171) 13% (48) 2% (6) 6% (20) 363
Published expression profiles 52% (188) 37% (135) 6% (23) 1% (3) 4% (14) 363
Literature link 48% (174) 42% (153) 8% (28) 0% (1) 2% (7) 363
Domain information 48% (176) 44% (158) 5% (19) 1% (2) 2% (8) 363
Database cross-references 39% (142) 45% (163) 11% (40) 0% (0) 5% (18) 363
UniProt annotation for this protein 27% (99) 51% (186) 12% (42) 1% (4) 9% (32) 363
Total Respondents 363
(skipped this question) 0

5. Which other internet resources do you use for your work? (select all which apply)

  Response Percent Response Total
PubMed 99.2% 360
Gene Ontology (GO) Website 25.3% 92
UniProt 24.2% 88
Pfam 49% 178
Interpro 15.2% 55
Saccharomyces Database (SGD) 67.5% 245
Comprehensive Yeast Genome Database (CYGD) 17.1% 62
PombePD 41.9% 152
NCBI (Entrez) 90.4% 328
Google 86% 312
GRID 12.9% 47
Other (please specify) 16.3% 59
Total Respondents 363
(skipped this question) 0

6. Which of these new types of information would you most like to see in the S. pombe database? Rank your results in order of preference from '1' MOST desirable to '8' LEAST desirable (each value can only be selected once)

  1 2 3 4 5 6 7 8 Response Average
Transcriptional start/stop 17% (60) 14% (50) 9% (32) 14% (49) 13% (44) 12% (42) 11% (37) 10% (34) 4.18
Regulatory motifs 8% (26) 22% (77) 18% (61) 16% (56) 14% (49) 12% (41) 8% (27) 2% (7) 3.85
Phenotypes 52% (182) 13% (47) 16% (55) 8% (27) 4% (13) 4% (15) 2% (7) 1% (3) 2.23
Signalling pathway data 6% (20) 8% (26) 13% (46) 17% (57) 13% (46) 18% (60) 15% (53) 10% (34) 4.89
Sequence/feature variation in related strains 3% (9) 5% (16) 5% (18) 11% (39) 14% (49) 13% (45) 24% (83) 25% (87) 5.90
Full text literature searching 5% (16) 8% (27) 6% (22) 7% (25) 13% (44) 16% (55) 17% (58) 29% (101) 5.75
Protein modifications 7% (24) 17% (60) 18% (62) 15% (51) 15% (53) 13% (46) 11% (37) 5% (17) 4.20
Microarray datasets 6% (20) 14% (50) 16% (58) 13% (46) 14% (50) 11% (40) 11% (39) 15% (52) 4.67
Total Respondents 361
(skipped this question) 2

7. How accurate, in general, do you consider the S. pombe curation and S. pombe GO curation?

  Response Percent Response Total
highly accurate 26.1% 95
mostly accurate 61.8% 225
badly inaccurate 0% 0
cannot assess 12.1% 44
Total Respondents 364
(skipped this question) 0

8. How accurate, in general, do you consider the S. pombe gene models?

  Response Percent Response Total
highly accurate 19.2% 70
mostly accurate 60.4% 220
badly inaccurate 0.8% 3
cannot assess 19.5% 71
Total Respondents 364
(skipped this question) 0

9. Have you ever contacted GeneDB, and if so, what was the reason? (select all which apply)

  Response Percent Response Total
Report an error 35.6% 47
Reserve a gene name 45.5% 60
Ask a question 50.8% 67
Make a suggestion 21.2% 28
Submit data/curation 29.5% 39
Total Respondents 132
(skipped this question) 231

10. If you answered question 9, in general how satisfied were you with the response(s)?

  Response Percent Response Total
very satisfied 90.4% 122
somewhat satisfied 6.7% 9
somewhat unsatisfied 3% 4
very unsatisfied 0% 0
Total Respondents 135
(skipped this question) 228

11. How easy is it to find the information you require in S. pombe GeneDB?

  Response Percent Response Total
very easy 32% 116
relatively easy 55.1% 200
sometimes confusing 11.6% 42
difficult 0.3% 1
no opinion 1.1% 4
Total Respondents 363
(skipped this question) 0

12. At what kind of institution do you work?

  Response Percent Response Total
University 63.6% 231
Research Institute 33.9% 123
Company 0% 0
Government 2.5% 9
Other 0% 0
Total Respondents 364
(skipped this question) 0

13. What is your position?

  Response Percent Response Total
Student 32% 116
Post Doctoral Fellow 25.3% 92
Database Curator 1.4% 5
Research Investigator 8.8% 32
Principal Investigator 29.5% 107
Other 3% 11
Total Respondents 364
(skipped this question) 0

14. What kind of computer operating system do you primarily use to access GeneDB?

  Response Percent Response Total
PC/Windows 49.3% 179
Mac 47.1% 171
Linux/UNIX 3.6% 13
Other 0% 0
Total Respondents 364
(skipped this question) 0

15. Which Internet browser do you prefer?

  Response Percent Response Total
Internet Explorer 41% 149
Netscape 5% 18
Mozilla/Firefox 27.5% 100
Safari 25.6% 93
Other 0.8% 3
Total Respondents 364
(skipped this question) 0

16. If you could add one feature to the database immediately, or improve one feature  immediately, what would it be?

Total Respondents: 135

(skipped this question) 228

17. How have the data and curation helped your research? Please provide specific examples and publications if possible. These examples will be helpful to secure future funding.

Total Respondents: 144

(skipped this question) 219

18. Do you work experimentally on any other organisms in addition to fission yeast for your area of research, and if so which?  (list all, including fission yeast, in order of relative importance to your work/degree of use)

Total Respondents: 157

(skipped this question) 206

19. Please provide any additional comments and information about the current resource which you feel were not covered by this survey

Total Respondents: 58

(skipped this question) 305

Annotation datasets
GO slims

Datasets

Note that some of the links below go to pages listing subdirectories that are organised slightly differently from the links on this page. Your browser may prompt you to open or download files.

If you have trouble finding anything, please ask the helpdesk.


Data download site

Main directory for S. pombe data


Genome sequence and features

  • Genome sequence (FASTA or enriched EMBL format for Artemis)
  • Feature coordinates (coding regions, introns, exons, UTRs, etc.)
  • Genomic regions (centromeres, telomeres, mating type)

Annotation datasets

Annotation type Description
Protein datasets Protein sequence FASTA database, peptide features, properties, etc.
GO annotations Gene Ontology annotation files
Macromolecular complexes Subunits of protein and ribonucleoprotein complexes (GO cellular component terms and annotated genes)
Phenotype annotations FYPO phenotype annotation files - complete annotation set (PHAF) or viability summary
HCPIN datasets Physical interaction and GO substrate data that make up the High Confidence Physical Interaction Network datasets; also see documentation
Modifications Protein modification data file (RNA modifications to be added in future)
Orthologs Manually curated ortholog sets for human and S. cerevisiae; also see documentation

Gene names and IDs

Mappings between PomBase systematic IDs, gene names, product descriptions, and UniProt accession numbers


GO slim

Current GO slim IDs and term names:


Mondo slim

Current fission yeast Mondo Disease Ontology slim IDs and term names


Curated inventories


Note: S. pombe files are no longer available from the old “pombase” FTP site within the EBI domain. If you have a link that contains ftp.ebi.ac.uk, please check these pages for a link using https://www.pombase.org/. Please contact the PomBase curators if you need help finding a file or directory.

General
Gene pages
Data submission file formats
Frequently Asked Questions (FAQ)

Email: Import of the fission yeast revisions from the Broad Institute comparative genome paper into GeneDB

Originally sent by Val Wood to pombelist Sat Apr 23 16:00:37 BST 2011

The changes reported in PMID:21511999 are visible in GeneDB.

Gene Structure Changes

We have imported 306 of the gene structure changes. Some reported
changes were rejected because :
i) The change was already incorporated
ii) The gene is known to be frame-shifted (the correct, albeit gene
structure is currently represented) the confirmed frame-shifts will be
fixed in the next round of sequence changes.
iii) A different start site was reported, but homology or experimental
evidence supports the existing coding sequence start site (if this was
inconclusive I used the Broad start site)
iv) The existing structure was already experimentally supported (in
these cases alternative transcript features will be created once we move
to the new PomBase)

Most of the changes are small, alterations to gene structures and
include mainly:
i) Additional in-frame introns
ii) Use of an alternative starting methionine
iii) Use of an alternative, but proximal acceptor (in these cases it
is possible that both variants occur, but we have used the new
experimentally supported one)
iv) A couple of genes were “un-merged” and one merged.
A small number of changes were larger, and involved additional N or C
terminal exons, and occasionally gross changes to coding sequence.

As there are a large number of changes it is possible that your gene(s)
of interest could be affected.
All of the updated genes are annotated with:
“warning, gene structure updated”PMID:xxxxxxxx” (this will change to
PMID:21511999 when GeneDB is next updated)
in the “controlled curation” section of the gene page

New Genes
New gene structures have been created for the new genes reported
All new genes identified in this analysis are annotated with:
“warning, new gene PMID:xxxxxxxx” (this will change to PMID:21511999
when GeneDB is next updated)
in the “controlled curation” section of the gene page

ncRNAs
All non coding RNAs were imported.
Some are clearly coincident with existing predicted RNAs (However, some
of the previously annotated RNA’s may appear on the incorrect strand as
they were derived from Affymetrix data),
Over time, these will be assessed and merged where appropriate.

UTRs
The UTRs derived from the Broad data have been used for the consensus
UTR set, the precedence for the current annotated consensus set is now :
Individual published sources> PMID:21511999 >PMID:20118936
We hope to make the entire datasets available in the new PomBase.

If you have any questions, please direct them to the new helpdesk,
helpdesk at pombase.ac.uk, or send your query directly using the curator
feedback on the GeneDB web page.

Getting started with PomBase JBrowse

The PomBase genome browser can be accessed in multiple ways:

  • On any PomBase page, click the “Search” tab in the header menu, and select “Genome browser”
  • From a gene page, click the “View region in JBrowse …” link just above the map image
  • On the publication page for any paper with associated datasets, select tracks from the list and click the “Load in JBrowse” button
  • Go directly to https://www.pombase.org/jbrowse/

DNA sequence, forward features and reverse features

Tracks for annotated sequence features — genes, repeats, etc. — on the forward and reverse strands are displayed by default.

To show the track containing the reference DNA sequence, use the “Genome sequence and features” filter and enable the “DNA sequence” track as described below.

See this FAQ to display a sequence region using coordinates.

To download sequence, see the “Exporting data” section below (it works the same way as for any other track).

Enabling data tracks

To show data tracks:

  1. Click on the “Select tracks” button in the top left corner.

    JBrowse top, with “select tracks” button highlighted
  2. Locate the track(s) of interest (see below), and then click the tickbox for any individual track to toggle it on/off, or use the tickbox in the header to enable/disable all of the listed tracks at once.

  3. Click the “Back to browser” button at the top.

  4. The tracks should now be displayed. For example, the sequence feature and DNA sequence tracks look like this:

    JBrowse display of pombe sequence and features

To hide a track, click the (X) button to the left of the track label, or go to the “Select tracks” page and clear its tickbox.

Drag and drop tracks to change the order in which they appear.

Changing the track scale

By default, the scale fits the range of the data being displayed in the current viewing window. The scale can be manually defined.

Click the downarrow to the right of the track label, and click on edit config:

Jbrowse edit config

Change the scale by defining a max_score and/or a min score:

JBrowse_max_score defined

The scale can be made consistent across tracks:

rescaled tracks jbrowse_rescaled.png

More wiggle track configuration option in the official JBrowse documentation

Locating data

Each entry in the left-hand column can be used to filter the track list. Filter criteria fall into several categories, corresponding to some of the track metadata (see below):

JBrowse track selection interface

As you select filters, the screen will update to show only relevant criteria on the left, and matching tracks on the right.

You can also search for names, keywords, etc. using the “Contains text” box.

Any applied filters, including text, can be cleared by clicking the red X button that appears next to a selected filter (in the search box or the left-hand column), or by using the “Clear All Filters” button.

For a list of recently enabled tracks, click “Recently Used”.

Track metadata

Information about each track is captured as part of the curation process. Metadata includes:

  • Data type: what the experiment measured
  • Track label (name): Brief description that appears with the track in the browser display
  • Alleles: data from wild type or mutant cells
  • Growth phase or response: data from cells assayed a specific stress response or growth phase (e.g. nitrogen starvation, oxidative stress, vegetative growth)
  • Localized gene product: the protein assayed in a chromatin binding experiment
  • Strain background mutations: any background mutations present in the strain for experimental purposes only and not considered as influencing the results in themselves, such as auxotrophic markers (e.g. leu1-1) or alleles utilized for block and release experiments (e.g. cdc25-22)
  • Mating type and ploidy
  • Conditions: experimental conditions, e.g. whether cells were grown in YES or EMM, or if H2O2 or t-BOOH was used to induce oxidative stress
  • Study ID: accession for the study encompassing the data in external databases (e.g. GEO, ArrayExpress)
  • Sample ID: accession for the sample used to generate the data in external databases (e.g. GEO, ArrayExpress)
  • First author name
  • PubMed ID: paper in which the data were published
  • Publication year

The metadata can be viewed in two ways:

  1. In the track selector, tracks are listed with associated metadata on the right hand side:

    JBrowse track selector with metadata headers highlighted
  2. In the browser, hover over a track label to display a down arrow:

    JBrowse track label

    Click the arrow, then click “About this track” in the dropdown menu:

    JBrowse track dropdown menu

    The metadata and stats are displayed:

    JBrowse track metadata popup

    To dismiss the popup, click the ‘X’ in the upper right corner or the ‘OK’ button at the bottom.

Moving around

There are several ways to navigate the genome.

  • Use the box at the top that displays the chromosomal coordinates to navigate to a specified location: JBrowse top of main display

    In the coordinates box,

    • Type a gene name, or
    • Select a chromosome in the pulldown, then type or paste a range of coordinates (two numbers separated by two dots, e.g. 2323258..2336458).
      • If you select one of the pulldown options but omit coordinates, the browser goes to a default location spanning most of the selected chromosome.
      • You can also type both a chromosome ID and coordinates directly in the location box, e.g II:2323258..2336458. Use Roman numerals (I, II, III) for the three nuclear chromosomes.
    • Click the “Go” button or hit return to go to the gene or region.
    • Coordinates for some regions of interest:
      • Centromeres
        • I:3753687..3789421
        • II:1602264..1644747
        • III:1070904..1137003
      • Mating type region
        • II:2129208..2137121
      • rDNA (link to one complete repeat)
        • III:5542..13722
    • For more information on the chromosome selection options, see PomBase documentation on genome sequencing status, the mating type region, and rDNA.
  • In the uppermost bar, a red box indicates the size and position of the currently displayed region, in the context of the whole chromosome. Click in the bar or drag the red box to change position.

    JBrowse position bar
  • Use the arrows next to the bar with the box for chromosomal coordinates to move right or left in increments.

  • Drag or swipe (depending on device) in the main browser window to scroll.

Zooming

To zoom:

  • Use the + and - buttons, or

  • In the main browser window, double-click to zoom in, and shift-double-click to zoom out, or

  • Use the narrow bar below the chromosomal coordinates:

    JBrowse region selection bar

    Click and drag to highlight a region, then click within the highlighted region to zoom so the region fills the browser window:

    JBrowse zoom in on selected region

To see the DNA sequence, zoom in until it appears, first as color-coded blocks, and then labeled with letters.

More S. pombe-specific information can be found in the Genome browser FAQ list.

Exporting data

To export the data for any track, hover over the track label to display a down arrow:

JBrowse track label

Click the arrow, then click “Save track data” in the dropdown menu:

JBrowse track dropdown menu save data

In the popup, choose a data format. DNA sequence is provided in FASTA format. GFF3 is available for most tracks; other options depend on the data type. You can also edit the name of the file where the data will be saved.

JBrowse track metadata popup

Click ‘View’ to see how the data will appear in the saved file. To download the data file click ‘Save’ (available in the original popup or the ‘View’ panel). To dismiss the popup withous saving, click the ‘X’ in the upper right corner or the ‘Close’ button at the bottom.

Email: Annotated transcription start and termination sites for fission yeast.

Originally sent by Val Wood to pombelist Fri Feb 4 12:08:34 GMT 2011

A set of genome wide transcription start and termination sites manually
annotated by Lantermann et. al in PMID: 20118936, based on
transcriptome data from Dutrow et. al. PMID: 18641648 have been used to
create 5’ and 3’UTR features for the reference genome, for genes with no
previously annotated transcript from another source.

This increases the number of manually annotated UTRs from
298 to 3605 for 5’
778 to 3693 for 3’

Because it appears that transcription start and end can be fuzzy,
these features should be considered as an “indicator” of the likely
extent of transcription. We will continue to revise the reference
transcript set as updates are reported, to represent the longest
discrete transcript for a region as the consensus.

Data Access
You can access the transcription start and end from individual GeneDB
gene pages for genes of interest using the sequence viewers GBrowse or
Artemis. The links to these 2 browsers are to the right and left of the
“context map” on the “Location” section of the gene page.
(Artemis tips: Use the “Artemis applet” option selected; If you are
interested in a specific gene, reduce the upstream and downstream range
of to 1000 before clicking “submit”; the page will take a few seconds
to render the first time in a session)

You can download this data as part of the complete annotation in the “rich EMBL files” from here: ftp://ftp.sanger.ac.uk/pub/yeast/pombe/Chromosome_contigs/ (the files chromosome*.contig) and view them in Artemis on your desktop (see the Artemis FAQ and the Artemis manual (pdf; Sanger site) for additional information).

Hosting Further Transcriptome Datasets
Clearly, as more transcriptome data becomes available the community will
require access to the different datasets, in addition to the consensus
transcripts. We intend to provide this in the future through the new
PomBase using the Ensembl viewer.

Note: This documentation is still a work in progress. Please contact the helpdesk if you have any questions.

The PomBase advanced search allows you to construct complex queries for S. pombe genes. At present all advanced search results are lists of genes that match the query specifications. Hints for specific searches are available in the PomBase FAQ, and linked below (scroll down to Search tips).

Overview

In the Search menu, choose Advanced (or bookmark https://www.pombase.org/query).

In the Query panel (top), click one of the links in the list on the left to choose a query type (described below). Arrowheads indicate list entries that expand to offer two or more query types, organized in tabs. For each query, the interface guides your input.

advanced search page with new query

In the History panel (bottom), queries are listed in reverse chronological order (most recently run first). Results are linked in the Count column; the link goes to a page that displays the gene name, systematic ID, and product description for matching genes. The Download button offers additional options, including nucleotide and (where applicable) protein sequence. To return to the search page, use the blue “<- Advanced search” button just above the result list, not your browser’s “Back” button.

You can select queries in the list to combine or delete them. To combine queries, you must select two or more from the list, and then click one of the operator buttons:

advanced search Boolean operator buttons

Results are added to the history list:

advanced search query history list

Queries using the NOT operator default place the more recently run query first (newer NOT/Subtract older):

advanced search page NOT operator dialog

Click “Change direction” to switch the order. Click “Submit” to run the query.

You can also move any query to the top of the history list by clicking its “Results” link, and then clicking the “<- Advanced search” button.

Query results can remain available in the history list for several days. If changes in annotation cause results to change since a query was last run, an additional “Previous” column will be displayed in the history list, showing the out-of-date result count:

advanced search page with out-of-date query

Click on the “Results” link to re-run the query and retrieve the up-to-date result.

If the parameters for a query are not all visible in the history, a “[details]” toggle (1) to show or hide additional details will appear. You can also edit the name that appears in the history list (2). The name will be used as part of the description when the query is used in any combined query (which can, in turn, be given a new name).

advanced search query name and details

Query results page

Clicking on any up-to-date count in the “Results” column goes to a page that shows the count, query details, and a list of matching genes.

advanced search results page
  1. Return to the main Advanced search page (you can also use the browser “back” button)

  2. Click on a header to sort by the column

  3. Select columns to display. A set of gene expression data sets are hidden by default; click “Show gene expression columns” to reveal the additional options.

  4. Select from the pulldown to send the gene list to QuiLT for visualisation, or, for lists of up to 150 genes, see the genes highlighted in violin plots of quantitative expression datasets. (At present data from Marguerat S et al. (2012) and Carpy A et al. (2014) are included.)

  5. Show GO slim annotations for genes in the list. Click “Slim with” to reveal a dropdown, and choose a slim. Note: when you return to the main Advanced search page, the query history will include an entry showing the query as a gene list. This is harmless.

  6. Narrow the list: click the button to reveal checkboxes. Available for lists of up to 1000 genes.

  7. Download selected data for genes in the list. The popup offers three sets of options:

    • The default “Tab delimited” view offers a set of details that can be included in a downloaded text file. Click “Show gene expression columns” to reveal additional options.
    • Use the “Sequence” tab to retrieve amino acid or nucleotide sequences in FASTA format. Use the checkboxes to select which items are included in the headers. When “Nucleotide” is selected, flanking sequence options similar to those on the gene page are available.
    • In the “GO Annotation” tab, you can choose which ontologies to include. Downloaded annotations are in GAF 2.1 format. Note that only “direct”, not inferred, annotations are included, as described in this FAQ.

Sharing search results

Each results page has a stable, unique URL that you can bookmark, copy/paste, and share. Anyone who follows a shared link will see the same results page, and the query will be added to their query history.

The “Visualise” and “Slim” options also generate stable, unique, sharable URLs.

Query types

Ontology queries (GO, phenotype, protein modification, and protein sequence feature) retrieve genes that are annotated to the selected term(s), and to their descendants via specified relations (see the GO documentation on Ontology Structure and Ontology Relations for more information on relationships between terms in ontologies, and see the descriptions below of specific ontology filters for lists of which relations are followed to retrieve annotations). Ontologies can be searched by ID or term name. Type or paste a complete ontology ID, including the prefix (e.g. GO:0005634, FYPO:0002059), or simply start typing to search for a term name. Choose a term from the list of options offered by the autocomplete, and click “Submit”.

Note: Only terms that are used in annotations (direct or inferred by transitivity) will appear as autocomplete suggestions. This is to avoid having irrelevant terms, such as “chloroplast” or “echolocation” appearing. Any term without annotations can be found by searching by its ID, and will appear in the query history with “0” results.

Commonly used queries

This item offers convenient links to perform frequently used queries easily. Click on the query description to add the results to the query history.

Please contact the helpdesk if you would like any queries added to the selection.

Gene names and IDs

Type or paste a list of gene names or systematic IDs (or a mixture), or click the “Browse” button to select a file to upload. Click “Lookup” to add the gene list to the history (useful for combining the list with other queries).

UniProt accessions

Links to the Identifier Mapper.

GO

The Gene Ontology (GO) query retrieves gene products annotated to a GO term and to any of its child terms, following the is_a, part_of, regulates, positively_regulates,and negatively_regulates relationships in the ontology. You may also find it helpful to search or browse in QuickGO or AmiGO to find GO terms of interest. If one search does not seem to retrieve as many results as you expect, try again using a less specific term. Note: prior to the November 2014 PomBase release, the regulates relations were not followed, and PomBase GO search results therefore did not match those in AmiGO.

Phenotype

The phenotype (Fission Yeast Phenotype Ontology) query retrieves genes annotated to a FYPO term and to any of its child terms, following the is_a, part_of, output_of, has_output, and has_part relationships in the ontology. This query also offers additional context-dependent options. By default, the phenotype search retrieves genes from single-allele haploid and diploid genotypes annotated to the searched FYPO term:

phenotype default search options

You can alter the selected options to add genes from multi-allele genotypes, and/or to search specifically for haploids or diploids. See the gene page phenotype documentation and the genotype page documentation for more information.

If you select single-locus haploids, expression level options are also available:

phenotype search options for single-locus haploids

Different alleles of one gene may have different phenotypes, and one allele may give rise to different phenotypes under different experimental conditions. At present, you can retrieve annotations for all alleles of a gene, or use the “Expression level” options restrict the query to null alleles (covers deletions and any other sequence changes, such as most disruptions, that completely abolish expression of the gene) or overexpression of the wild type allele.

phenotype condition search option

The “Constrain condition” option restricts the results to include only genes that have phenotype annotations including the specified condition. The search uses the same condition descriptors as Canto and the PomBase web pages. Start typing, then choose from the autocomplete options.

Note that the results will include any gene that has phenotype annotations including the specified condition for any allele. Queries that include conditions can be combined using the AND, NOT, or OR operators like any other, but the result of any combination of phenotype queries will likely include annotations for different alleles. There may not be any individual annotation in which both/all of multiple conditions co-occur.

The search does not yet support querying for multiple conditions on the same annotation, nor for queries that exclude a given condition; both are planned for future development.

Disease

Search the Monarch Disease Ontology to find S. pombe genes whose human orthologs have been implicated in disease. Start typing ‘disease’ or the name of a specific disease, and choose from the autocomplete options. To retrieve all disease-associated genes, type or paste “MONDO:0000001”.

Product type

Choose a gene product type (e.g. protein coding, tRNA, etc.) from the pulldown menu.

Protein modification

Search for terms or IDs in the PSI-MOD ontology.

Domain, features and motifs

Queries for proteins that have a specified domain, sequence feature, or structural feature

Domain ID

Search for a protein domain using an ID from Pfam, PRINTs, PROFILE, ProSite, or InterPro. Type or paste an accession and click “Submit”.

Protein motifs

This query searches for terms or IDs in the Sequence Ontology and retrieves protein-coding genes where the protein has the feature represented by the SO term (e.g. KEN box SO:0001807).

TM domains

Find protein-coding genes with products that have a specified number of transmembrane domains. Use the appropriate button for any TM domains or none, or enter the desired minimum and maximum number and click “Search”.

Coiled-coil regions

Find protein-coding genes with products that have a specified number of coiled-coil regions. Use the appropriate button for any coiled-coil regions or none, or enter the desired minimum and maximum number and click “Search”.

Disordered regions

Find protein-coding genes with products that have a specified number of disordered regions. Use the appropriate button for any disordered regions or none, or enter the desired minimum and maximum number and click “Search”.

Low-complexity regions

Find protein-coding genes with products that have a specified number of low-complexity regions. Use the appropriate button for any low-complexity regions or none, or enter the desired minimum and maximum number and click “Search”.

Protein properties

Physical properties of protein gene products:

Protein length

Find protein-coding genes with products in a specified length range. Enter the desired minimum and maximum length and click “Search”.

Protein mol. weight

Find protein-coding genes with products in a specified mass range. Enter the desired minimum and maximum mass in kiloDaltons (kDa) and click “Search”.

Genome location

Find genes in a specified region of a chromosome. Select a chromosome from the pulldown, and click “Search” to retrieve all genes on the chromosome. Or click the radio button to switch to “Genes overlapping range”, and enter start and end coordinates in the boxes to retrieve only genes in the specified region. Note that genes that partly overlap the entered coordinates will be included.

Number of exons

Find genes with a specified number of coding exons in the primary transcript (note: at present this query does not consider any annotated alternative transcripts). Enter the desired minimum and maximum number and click “Search”.

Number of transcripts

Find genes with a specified number of annotated transcript isoforms; Enter the desired minimum and maximum number and click “Search”. (Note: alternative transcripts are only explicitly annotated if functional differences between isoforms are identified- see the browser datasets for the full extent of known transcript variation)

Orthologs and conservation

Taxonomic conservation

Choose one of the descriptions from the pulldown menu. See the gene page documentation for more information.

Protein with orthologs

Choose a species from the pulldown menu to retrieve all S. pombe genes with a curated ortholog in the selected species.

Characterisation status

Choose one of the descriptions from the pulldown menu. See the gene characterisation page for more information.

Search tips

FAQ entries relevant to using the advanced search are organised here by topic. Several of the topics also correspond to gene page sections.

Phenotype searches

Gene Ontology searches

Protein searches

Taxonomic conservation

Gene and genome searches

Annotation extension relation display

Annotation extensions are used to provide additional specificity for annotations to GO, FYPO, and protein modification annotations. Each extension consists of a relation and another “entity”, which may be a gene in PomBase or another database, or another ontology term. (The GO Consortium wiki page on annotation extensions contains useful information on relations.) Because some relations have unwieldy names, the PomBase gene page display substitutes more readable text.

This table shows the underlying relation name and corresponding display text for the affected relations, and the reciprocal relation displayed in “Target of” annotations (derived from extension data):

Relation name Display name Reciprocal
activated_by activated by N/A
coincident_with at N/A
during during N/A
exists_during during N/A
happens_during during N/A
has_regulation_target regulates regulated by
in_absence_of in absence of N/A
in_presence_of in presence of N/A
inhibited_by inhibited by N/A
not_exists_during except during N/A
not_happens_during except during N/A
occurs_at at N/A
occurs_in in N/A
required_for required for N/A

For some relations, the best display string depends on term and its ancestry, as indicated in these tables:

The display for FYPO extensions indicating genes used in assays depends on whether the phenotype is normal or abnormal:

Relation name If descendant of Display name Reciprocal
assayed_using FYPO:0001985 abnormal phenotype affecting affected by mutation in
assayed_enzyme FYPO:0001985 abnormal phenotype affecting activity of activity affected by mutation in
assayed_substrate FYPO:0001985 abnormal phenotype affecting substrate affected by mutation in
assayed_using FYPO:0000257 normal phenotype affecting N/A (normal means no effect to report in “Target of” section)
assayed_enzyme FYPO:0000257 normal phenotype affecting activity of N/A (normal means no effect to report in “Target of” section)
assayed_substrate FYPO:0000257 normal phenotype affecting substrate N/A (normal means no effect to report in “Target of” section)

GO annotation extensions display for part_of:

If descendant of Display name Reciprocal
GO:0003674 molecular_function involved in N/A
GO:0008150 biological process part of N/A

The display for the “input” relations (has_input or has_direct_input) follows this pattern:

If descendant of Display name Reciprocal
GO:0003824 catalytic activity has substrate substrate of
GO:0006810 transport transports transported by
GO:0005215 transporter activity transports transported by
GO:0000976 transcription regulatory region sequence-specific DNA binding regulates transcription of transcription regulated by
GO:0001216 DNA-binding transcription activator activity activates transcription of transcription activated by
GO:0001217 DNA-binding transcription repressor activity represses transcription of transcription repressed by
GO:0003713 transcription coactivator activity activates transcription of transcription activated by
GO:0003714 transcription corepressor activity represses transcription of transcription repressed by
GO:0030234 enzyme regulator activity regulates regulated by
GO:0008047 enzyme activator activity positively regulates positively regulated by
GO:0004857 enzyme inhibitor activity negatively regulates negatively regulated by
GO:0051179 localization localizes localized by
GO:0005488 binding binds binds
(anything not listed above) has input input for

PomBase displays also use human-friendly names for Protein Ontology (PRO) terms used in extensions (inculding “active form”). The display names include modification positions denoted with these abbreviations:

Abbreviation Meaning
Ac acetylated
Clv cleaved (residue specification optional)
DiUbiq diubiquitinated
GDP+ GDP-bound
GTP+ GTP-bound
HyperOx hyperoxidized
InitMet- initiator methionine removed
Ip prenylated
Me methylated
Me2 dimethylated
Me3 trimethylated
MonoUbiq monoubiquitinated
Ox+ oxidized form
Phos phosphorylated (specified residue)
PhosRes+ phosphorylated (unspecified residue)
PhosRes- unphosphorylated (unspecified residue)
PolyUbiq polyubiquitinated
Red+ reduced form
Sumo sumoylated
Ubiq ubiquitinated (residue specification optional)
UnMod unmodified (residue specification optional)
UnPhos unphosphorylated (residue specification optional)
UnUbiq unubiquitinated

PomBase controlled curation

Gene and publication pages include manually curated annotations of several types that cannot be represented using available ontologies.

For each annotation, the summary view shows a text description, which corresponds to an entry in the internal PB term set. The detailed view adds the PBO ID, evidence (if available), reference, and count. The count links to the ontology term page for the description.

Links in the left-hand navigation menu include:

  • Complementation - Indicates that an S. pombe gene complements, or is complemented by, a gene from another species

  • Miscellaneous

  • Subunit composition - Brief description of homo- or heteromeric complex(es) in which the gene product is found

  • Warnings - Alerts to changes or anomalies that can affect interpretation of experimental results, such as changes to the sequence or feature annotation

In the Miscellaneous category, annotations fall under one of these sub-headings:

  • Catalytic activity attributes: Features of a gene product’s catalytic activity, such as KM, kcat, substrate specificity

  • Experimental tools: Indicates that the gene or its product is used as an experimental tool (e.g. reporter gene construct, selectable marker, antibody)

  • Genome organization: Attributes of the genomic region around the gene, e.g. duplications, repeats, alternative transcripts

  • Miscellaneous functional group: Function-related descriptions that are not covered by GO molecular function or biological process annotations

  • Comment: Experimental observations and other notes that do not fit into ontologies or any of the above controlled curation categories; truly miscellaneous but interesting information

HTP sequence-linked data submission instructions

PomBase welcomes submissions of published HTP sequence-linked data, suitable for viewing in a genome browser. We require JBrowse compliant data files and associated metadata descriptions. Please see the FAQ on file formats for links to the file format descriptions, and other entries in the data submission FAQ category for more information.

Data files

All features in data files need to use these chromosome IDs:

  • I
  • II
  • III
  • chr_II_telomeric_gap
  • mitochondrial
  • mating_type_region

Metadata

We have devised a file format for the metadata we need, with downloadable spreadsheet templates available in Excel and Open Document Format (links may download files, depending on your browser). Letters in the table below refer to spreadsheet columns.

If you prefer, you can prepare a file without using the template. Create a tab-delimited text file, and include a header line that labels the columns, using the entry in the Contents column below as the column header text.

File columns

Column Contents Example Mandatory? Multiple entries allowed?
1 (A) Data type Transcripts, Chromatin binding, Nucleosome positioning, Poly(A) sites, Replication origins Yes No
2 (B) Track label see below for format and examples*** Yes No
3 (C) Assayed gene product Fkh2 Only required for chromatin binding data, to specify the protein binding to chromatin No
4 (D) Strain background h- cdc25-22, leu1-1 Yes Yes
5 (E) WT or mutant (strains with only background mutations are considered WT) WT Yes No
6 (F) Mutant alleles clr4delta, dfp1-3A No Yes
7 (G) Conditions YES, high temperature; glucose MM, standard temperature + HU No No
8 (H) Comment free-text field for additional information No Yes
9 (I) Growth phase or response vegetative growth, meiosis, quiescence, glucose starvation, oxidative stress, heat shock Yes Yes if the track combines data
10 (J) Strand forward, reverse No No
11 (K) Assay type tiling microarray, RNA-seq, HT sequencing Yes No
12 (L) First author (surname) Soriano Yes No
13 (M) Publication year 2020 Yes No
14 (N) PubMed ID 31077324 Yes No
15 (O) Database GEO, ArrayExpress Required for data available in public repository databases No
16 (P) Study ID GSE110976, PRJEB7403 Required if the Database column has an entry No
17 (Q) Sample ID GSM3019628, ERS555567 No Yes
18 (R) Data file type bigwig, bed Yes No
19 (S) File name name given to submitted data file relevant to the track Yes No

Track label format

The track label must uniquely describe each track. For consistency in track label descriptions, please follow the recommended format as closely as possible:

“Assayed gene product” “Data type” “in mutant” “during Growth phase or response” “additional experimental detail of importance (Conditions, Strain background)” “; repeat” “(strand)” “- First author (Publication year)”

Examples:

  • Nucleosome positioning during vegetative growth; repeat 1 - Gonzalez et al. (2016)
  • Poly(A) sites during meiosis (forward strand) - Schlackow et al. (2013)
  • Transcripts in atf1delta (forward strand) - Soriano et al. (2013)
  • Replication origins in cells synchronized by cdc25-ts block/release and hydroxyurea arrest - Xu et al. (2012)
  • Replication origins in cells synchronized by elutriation and hydroxyurea arrest - Xu et al. (2012)
  • Replication origins in dfp1-3A synchronized by elutriation and hydroxyurea arrest - Xu et al. (2012)
  • Transcription start sites during oxidative stress (reverse strand) - Thodberg et al. (2018)

Submit

To submit the files, or if you have any questions, please contact the PomBase curators.

Gene page: Disease associations

The Disease association section lists disease descriptions from the Monarch Initiative’s Mondo Disease Ontology (Mondo) for fission yeast orthologs of human disease-causing genes.

The summary view shows slim terms (see below) and the names of the most specific terms used to annotate the gene.

The detailed view shows more information for each annotation, and may display additional terms:

full gene page disease association annotation
  1. Mondo slim terms applicable to the gene.

  2. The Mondo term ID and name, which link to a page with additional information, including the term definition, any synonyms, relationships to other Mondo terms, and annotations to the term or its descendants.

  3. Indicates whether the annotation was created by PomBase curators or obtained from an external source (usually Malacards

  4. The paper from which the annotation comes.

  5. The number of genes annotated to the term, linked to an ontology term page as described above.

Gene page: Basic information

At the top of each gene page is a set of basic information about the gene:

top of gene page
  1. See the Gene Name Registry for more information about S. pombe gene names. Synonyms include all names other than the standard name that have been published for a gene, and thus are not guaranteed to be unique.
  2. Free text description of the gene product
  3. Chromosome coordinates for the gene. For protein-coding genes, the “coding start to stop” numbers give the start, end, and length excluding UTRs but including introns (other than introns located entirely within UTRs). The second set of numbers indicate the gene start, end, and length including the default UTRs chosen by PomBase curators (see this FAQ for more information).
  4. What the three-letter acronym stands for; where available, name descriptions are provided for synonyms as well as primary names.
  5. Category describing how well-studied a gene is; see the Gene Characterisation page for details. Note: at present this is used in PomBase for S. pombe, but not in JaponicusDB.
  6. Indicates whether a gene encodes protein, specifies a non-coding RNA, or is a pseudogene
  7. The size of the mature gene product. For protein-coding genes, the length (number of amino acid residues) and molecular weight are shown.
  8. Interactive graphic from PomBase JBrowse, centred on the location of the gene. Drag to scroll left and right, double-click to zoom in, shift-double-click to zoom out, and click a feature to see details in a popup. The “Full-screen view” link in the corner opens the fully functional JBrowse in a new tab or window. Reloading a gene page restores the display to the default location and zoom level.
  9. Links to gene pages for nearby genes

Gene page: External references

The External references section of a gene page provides links to information on a gene or its product in each of several external databases. For each database, a category, the name and a brief description are shown, and the identifier used by the database is displayed and linked.

The resources linked in this section cover a wide range of databases and data types. Because all are external, PomBase staff cannot provide assistance with any of the resources other than problems with the actual links.

Gene page: Gene expression

The Gene expression section of a gene page displays curated qualitative and quantitative information about the level and timing of the gene’s expression. In each subsection, a simple summary appears by default:

gene page expression section, summary view
  1. Qualitative descriptions are drawn from a small internal controlled vocabulary, with supporting extensions. Each description links to a list of all genes annotated to the same term.
    • a) The expression description name.
    • c) An optional extension indicating that expression is observed during a particular process or phase (using GO terms) or in the presence of a particular chemical (using ChEBI terms).
  2. Quantitative expression data include the number of RNA or protein molecules measured per cell, and may optionally include a copy number range. Quantitative expression annotations also indicate whether the experiment measures expression in a population or a single cell, and usually include a brief description of experimental conditions, drawn from a small ontology maintained by PomBase curators.
    • h)What was measured, i.e. RNA or protein.
    • i) Molecules per cell (RNA or protein, as indicated in the sub-header). For population-scale experiment types this is an average, whereas for single-cell scale experiments it is an absolute number.
    • j) The life cycle stage or cell cycle phase in which expression was measured.
  3. Click to see the gene highlighted in violin plots of quantitative expression datasets that include it. (At present data from Marguerat S et al. (2012) and Carpy A et al. (2014) are included.)

Click “Show details” to reveal additional information:

gene page expression section, detail view
  1. Qualitative expression details:
    • a, b) The unique ID and name for the expression description.
    • c) Optional extension, as in the summary view.
    • d) A brief descriptor for the type of evidence that supports the annotation. The evidence categories come from the Evidence Ontology (ECO).
    • e) The display can be filtered to show subsets of the total set of annotations. Choose a cell cycle phase from the “During” pulldown, or throughput from the second pulldown (options that match no annotations are greyed out).
    • f) The paper from which the annotation comes.
    • g) The number of genes annotated to the description (not including extensions), linked to a list of the genes.
  2. Quantitative expression details:
    • h)What was measured, i.e. RNA or protein.
    • i) Molecules per cell, as in the summary view.
    • j) The life cycle stage or cell cycle phase in which expression was measured.
    • k) Information about experimental conditions, such as temperature, type of medium used, etc. Descriptions come from a small ontology maintained by PomBase curators.
    • l) Whether the experiment was done at the level of a single cell or a population of cells.
    • m) A brief descriptor for the type of evidence that supports the annotation. The evidence categories come from the Evidence Ontology (ECO). If a more specific description is not available, the general term “experimental evidence” is shown.
    • n) The paper from which the annotation comes.

Important: Note that the condition descriptions are rather broad, and therefore do not necessarily capture all details of every aspect that may affect gene expression. We are also unable to capture strain details at present. We therefore recommend consulting the papers cited for the data before comparing or combining data from different publications.

Several of the External References also link to gene expression data.

Gene page: Gene Ontology

PomBase uses the Gene Ontology (GO) to describe the biological context of genes.

GO consists of three distinct ontologies (or sets of vocabularies) that describe a gene’s:

  1. Molecular Function (MF) — single-step activities such as kinase activity or transporter activity
  2. Biological Process (BP) — a series of functions with a common goal such as MAPK cascade or cytokinesis
  3. Cellular component (CC) — the location where the gene product can be found, and what complexes it is part of, for instance nucleus or fatty acid synthase complex

A gene product may be annotated to several GO terms from each of the three ontologies; mcm3, for instance, is annotated to single-stranded DNA helicase activity, ATP binding, and DNA replication origin binding (MFs), it acts in mitotic DNA replication initiation and negatively regulates the MCM helicase activity (BPs), and is found locations including the replication fork and the pre-replicative complex (CC).

Each table includes ontology term details and supporting data. The GO annotation display on PomBase gene pages includes ontology term details and supporting data. The summary view shows just the essentials: The list of terms is filtered, using the ontology structure, so that it shows only the most specific terms used to annotate a genotype, and each unique combination of gene, GO term, and extension(s) is shown once:

summary gene page GO annotations
  1. The GO term name, which links to a page with additional information, including the term definition, any synonyms, relationships to other GO terms, and annotations to the term or its descendants. (See the PomBase ontology term page documentation and the GO documentation on the GO graph and Relations in GO for more information.)
  2. GO Slim terms applicable to the gene.
  3. GO annotations may have extensions to capture any of several types of additional detail. S. pombe genes link to PomBase gene pages, and ontology term names link to ontology term pages.

The detailed view shows annotations to all GO terms, and includes more details for each annotation. It shows separate entries for repeat determinations of a given gene/term/extension combination (if supported by more than one line of evidence and/or reported in more than one paper), and annotations to terms hidden in the summary view:

full gene page GO annotations
  1. The unique ID and name for a GO term, linked to an ontology term page as described above.

  2. An abbreviation (code) for the type of (see “Evidence codes” below) that supports the annotation. The evidence categories come from the set of evidence codes defined by the GO Consortium.

  3. An additional ontology term or identifier that provides supporting details for annotations using certain evidence codes (see below and GO documentation).

  4. An optional qualifier that modifies the connection between the gene product and the GO term. Entries come from the set of allowed qualifiers described in GO’s annotation overview or internal PomBase usage.

  5. The paper from which the annotation comes.

  6. The number of genes annotated to the term, linked to an ontology term page as described above.

  7. GO Slim terms applicable to the gene.

  8. GO annotations may have extensions(see “Annotation extensions” below) to capture any of several types of additional detail. S. pombe genes link to PomBase gene pages. Protein Ontology (PRO) terms, which identify specific processed or modified forms of a protein, can be used in extensions or to indicate which form is active; both are displayed here.

Term ID and name

Annotations are made to the definition of a term, not the term name itself, so we recommend that users always read the term definition. The definition is critical because an ontology term name may change over time, but if the meaning of a definition changes the term must be obsoleted, and the associated genes must be reannotated to the correct definition. This procedure makes ontologies very robust to changes in biological knowledge, because if the definition is constant terms can be repositioned in the ontology (i.e. parents terms can be added or removed) without affecting the validity of the annotations that are attached to it.

The definition of a term can be found on the ontology term page linked to the term name and ID.

GO Structure

GO is structured in a hierarchal order with less specific terms being parents of more specific child terms. A child term may have multiple parents and multiple children; the BP mitotic sister chromatid segregation, for instance, has child terms representing each part of the segregation process (sister chromatid cohesion, separation, etc.) as well as parent terms connecting it to both the mitotic cell cycle and chromosome segregation. Crucially, whenever an annotation is made to a term, the gene product is automatically annotated to all the parent terms. The ancestry of a term can be viewed in browsers such as AmiGO or QuickGO, accessible via links on the ontology term page. For more information, see the GO graph documentation.

Multiple relationships exist to describe the links within the ontologies. A child term can have an is_a relation to the parent term, where the child is a more specific type of the parent, or a part_of relationship where the child makes up a part of the parent. For instance, the mitochondrion is_a intracellular organelle and is part_of a cell. Additionally, GO also include regulatory relationships. For more information on relationships in GO, see the Relations in GO documentation.

Evidence codes

In PomBase, every annotation is supported by a reference that states where the annotation comes from, and an evidence code that describes the type of data that supports the annotation. An annotation may be inferred from experimental ‘wet lab’ data, backed by a literature reference and citing experimental evidence such as IDA (Inferred from Direct Assay) or IMP (Inferred from Mutant Phenotype). Further information on evidence codes is available in the GO Evidence Codes documentation.

Another source of annotations come from computational methods. Please note that all computational annotations are based on predictions. In cases where a sequence model has been used to annotate genes, but the genes annotated based on the model have not been manually checked, the IEA (Inferred from Electronic Annotation) evidence code is assigned. If the annotations have been manually checked other evidence codes may be used, for instance ISO (Inferred from Sequence Orthology) or ISM (Inferred from Sequence Model). PomBase uses ISO to cross-reference to the roles of known S. cerevisiae genes, and uses ISM when domains present in a gene product can give clues to its biological role.

For some types of evidence, such as sequence comparisons or interaction data, it is important to note what gene or gene product was used in the comparison or detected in the interaction. In these cases the With/From column provides more information regarding the source of the information.

Annotation extensions

Where available, annotation extensions are displayed underneath the GO term name. The extensions provide additional specificity to the annotation by linking the term to another ontology term or a gene product via a relationship. Examples include specifying substrates of molecular functions or specifying the cellular localization during a process (for instance, S. pombe pka1 has protein serine/threonine kinase activity and has the substrates mei3 and rst2. It is a cellular component of the nucleus during nitrogen starvation, but found in the vacuole during glucose starvation).

The GO Consortium provides further information on annotation extensions in its file format guide, on a wiki page, and in publications from 2014 and 2017. PomBase converts many extension names to more human-friendly text, as described here.

If an extension mentions another S. pombe gene, the extension data will also be displayed as an annotation in the “Target of” section of the page for that gene.

PRO terms can be used in extensions, and PRO terms that are used to associate a GO annotation with a specific modified or processed form are also listed with annotation extensions. In both cases, PRO IDs link to Protein Ontology web pages. Note that PomBase uses human-friendly display names that differ from the full names on the PRO pages; abbreviations used in the display names are included in the extension display documentation.

Finding other genes annotated to a specific GO term

From a gene page, all S. pombe genes annotated to a term (or its children) can be found by clicking on a term name or ID to reach the ontology term page.

Additionally, the advanced search can be used to search for all genes annotated to a particular GO term (see the advanced search documentation for more information). To find annotations to specific GO terms in organisms other than S. pombe we recommend using AmiGO or QuickGO.

Gene page: Gene structure history

The “Gene structure history” section in the gene page shows all previous gene structures for the main feature of a gene (CDS for coding genes, and transcript for RNA genes). If available, the reasons for the change are indicated as comments or references to databases such as PubMed. In addition, a link to the annotated genome sequence before the structure was changed is provided.

List of all gene structure changes

You can find a list of all changes to all gene structures in this file. To download the file, right-click here and select “Save link as…”. Every pair of rows in the file corresponds to a change in the gene structure. The column Before / After indicates whether the coordinates refer to the gene structure before or after the change. In addition, if a reference was added or removed, it appears on the added or removed row, respectively. Comments associated with changes are also included.

Before using these coordinates for analysis, take into account that they may refer to a previous genome sequence / assembly (nucleotide sequence may have changed). You can find a list of the dates where the genome sequence has changed in this file. The relevant columns in the file are:

  • date: date of the change.
  • chromosome: chromosome affected.
  • link: link to the file prior to the change.

For example, to extract the sequence of SPAPB15E9.01c before 2002-03-22, complement(3980427..3982657):

  • Download the sequence of chromosome 1 prior to that change (the one where revision is 20011004). https://www.pombase.org/data/genome_sequence_and_features/artemis_files/OLD/20011004/chromosome1.contig
  • Extract the feature from that genome sequence.

Gene page: Literature

The Literature section of a gene page lists the papers that have curated data for the gene or its product.

At the top of the section, there is a link to search PubMed for any papers on the gene. This may retrieve papers not on the gene page Literature list, if there are papers not yet curated (or spurious matches to the search criteria).

For each paper, the full citation and the number of genes curated from the paper are shown, and a “Details” link goes to the publication page.

By default, the list is sorted alphabetically by first author. Use the “Sort by” links to change the order.

Gene page: Modifications

The Modifications section lists protein modifications that have been manually curated, using terms from the PSI-MOD ontology, for protein-coding genes. PomBase will add RNA modifications to this section in the future, when relevant data are curated.

Ontology Annotations for Protein Features

The summary view shows only the names of the most specific terms used to annotate the gene:

summary gene page modification ontology annotation

The detailed view shows more information for each annotation, and may display additional terms:

full gene page modification ontology annotation
  1. Name and ID of the ontology term
  2. Modification annotations may have extensions (see below) to capture any of several types of additional detail. S. pombe genes link to PomBase gene pages, and GO term names link to PomBase ontology term summary pages.
  3. The summary view is filtered, using the ontology structure, so that it shows only the most specific terms used to annotate a gene. Modification annotations curated for a gene using less specific terms (“superclasses” or “ancestors” in the ontology) appear only in the detailed view.
  4. An abbreviation (code) or brief description for the type of evidence that supports the annotation. Modification annotations use some of the codes defined by the GO Consortium, plus a small subset of the Evidence Ontology (ECO).
  5. The residue(s) modified (where available). Note: for histones, residue numbering assumes that the initiator methionine is removed.
  6. The published source of the annotation (where available)
  7. The total number of genes annotated to this term or any of its descendants, linked to a list of those genes. The gene list page includes basic information about the ontology term, and a link to send the gene list to the advanced search.

Annotation extensions

Where available, annotation extensions are displayed underneath the ontology term name. The extensions provide additional specificity to the annotation, often by linking the term to another ontology term or a gene product via a relationship. Examples include specifying the gene product that adds or removes a modification, specifying modified residues, or specifying that the modification is observed during a phase or process. For example, in S. pombe Lys4 (shown above) is phosphorylated on a serine residue during M phase of the mitotic cell cycle. Likewise, S. pombe Cdc2 is phosphorylated during G2, and phosphorylated on Tyrosine 15 by Wee1; it is phosphorylated during G2 but not M phase of the mitotic cell cycle; other extensions are also available for Cdc2.

The annotation extension field can also be used to indicate modification site occupancy, for experiments that measure the proportion of copies of the protein (or RNA) that have the modification.

Note: unlike GO annotations, for modification annotations extensions are not considered for display filtering. Annotations to less specific terms are hidden in the summary view whether they have extensions or not.

Gene page: Phenotypes

PomBase defines a phenotype as an observable characteristic, or set of characteristics, of an organism that results from the interaction of its genotype with a given environment. In PomBase, phenotypes are annotated using terms from the Fission Yeast Phenotype Ontology (FYPO). FYPO uses several existing ontologies from the Open Biological and Biomedical Ontologies (OBO) collection to construct formal definitions. Basic documentation for FYPO is available at the OBO Foundry, and further information is available on the FYPO wiki).

In the phenotype annotation display on PomBase gene pages, the first item shown is a brief summary indicating whether cells with a null (deletion) allele of the gene are viable or inviable, or either depending on experimental conditions. Next, single-locus phenotypes are shown in two tables. The first table lists phenotypes observed at the population level, such as viability in culture, and the second shows cell-level phenotypes. Note that the viable/inviable population terms describe whether a gene is essential or not, and see the wiki FYPO Content and Structure documentation for more information on cell and population phenotypes. Finally, two more tables list population-level and cell-level multi-locus phenotypes, i.e. phenotypes associated with double mutants, triple mutants, etc, and the relevant genotype details. Diploid genotypes are included in the single- or multi-locus tables as appropriate.

Each table includes ontology term details and supporting data. The summary view shows just the essentials: The list of terms is filtered, using the ontology structure, so that it shows only the most specific terms used to annotate a genotype, and each unique combination of gene, FYPO term, allele(s) and extension(s) is shown once. For single-allele phenotypes, the display includes:

single-locus FYPO summary on gene page
  1. The FYPO term name, which links to a page with additional information, including the term definition, any synonyms, relationships to other FYPO terms, and annotations to the term or its descendants. (See the ontology term page documentation for more.)
  2. Allele details, including a name (if one is used in the literature) and description (where known). Diploid genotypes specify both alleles for the locus, and are shown in bold. Mouse over the allele name to show the allele type, which indicates whether partial deletions or altered residues refer to amino acids or nucleotides, and expression level. If you can provide a description for any allele shown as “unknown”, please contact the PomBase curators.
  3. Phenotype annotations may have extensions to capture penetrance (proportion of a population that shows the phenotype) or severity (previously designated “expressivity”), or to document which gene or protein used in an assay for level, localisation, etc. S. pombe genes link to PomBase gene pages. Severity and penetrance use the relations has_severity and has_penetrance respectively, and can have values such as “high”, “medium”, or “low”. Penetrance can also use numerical values. A gene or gene product used in an assay is stored using the appropriate PomBase systematic ID and the relation assayed_using; the relation is converted to affecting in the gene page display. If a mutation affects an activity that modifies another gene product, extensions may capture the affected enzyme, the affected substrate, or both. The relation assayed_enzyme is displayed as affecting activity of on gene pages, and assayed_substrate is shown as affecting substrate.
  4. The phenotype display can be filtered to show subsets of the total set of annotations. Two filters, for ploidy and ontology terms, are available in the summary or detailed view. If there are both haploid and diploid genotypes curated, the first filter defaults to “Haploid or Diploid” to show all genotypes. The term filter lists several broad phenotypic categories derived from high-level FYPO terms:
FYPO annotation term filter

Choose one to restrict the annotation display to terms in the selected branch of FYPO. When term filtering is active, a message appears to indicate that not all annotations are shown:

filtered annotation display message

Change the selection back to “No filter” to see annotations to all terms.

The detailed single-locus phenotype view shows annotations to all FYPO terms, and includes more details for each annotation. It shows separate entries for repeat determinations of a given gene/term/allele/extension combination (if supported by more than one line of evidence and/or reported in more than one paper), and annotations to terms hidden in the summary view:

Single-locus FYPO detailed view on gene page
  1. The unique ID and name for a term in the phenotype ontology. The ID links to a page with additional information, including the term definition, any synonyms, relationships to other FYPO terms, and annotations to the term or its descendants. (See the ontology term page documentation for more.)

  2. Allele details, including a name (if one is used in the literature) and description (where known). The column is headed “Genotypes” for consistency between the single- and multi-locus displays. Diploid genotypes specify both alleles for the locus, and are shown in bold. Each genotype name links to a page with full details (type, description, and expression) for its allele(s), links to gene pages, and a list of all phenotype annotations for the genotype. If you can provide a description for any allele shown as “unknown”, please contact the PomBase curators.

  3. Mouse over the allele name to show the allele type, which indicates whether partial deletions or altered residues refer to amino acids or nucleotides, and expression level.

  4. The phenotype display can be filtered to show subsets of the total set of annotations. The ploidy filter (not shown in this screenshot) selects haploid, diploid, or both genotypes where curated. The term filter, available in the summary or detailed view, lists several broad phenotypic categories derived from high-level FYPO terms. Choose one to restrict the annotation display to terms in the selected branch of FYPO. Change the selection back to “No filter” to see annotations to all terms. In the detailed view, annotations can also be filtered by evidence or throughput by choosing an descriptions from pulldown menus. Change the selection back to “No filter” to see annotations using any evidence type. Different filters, such as term and evidence, can be combined (note that some term/evidence combinations have no matching annotations). When any filtering is active, a message appears to indicate that not all annotations are shown.

  5. A brief descriptor for the type of evidence that supports the annotation. The evidence categories come from the Evidence Ontology (ECO).

  6. Information about experimental conditions, such as temperature, type of medium used, etc. Descriptions come from a small ontology maintained by PomBase curators.

  7. The paper from which the annotation comes.

  8. Phenotype annotations may have extensions to capture penetrance (proportion of a population that shows the phenotype) or severity (previously designated “expressivity”), or to document which gene or protein used in an assay for level, localisation, etc. S. pombe genes link to PomBase gene pages. Severity and penetrance use the relations has_severity and has_penetrance respectively, and can have values such as “high”, “medium”, or “low”. Penetrance can also use numerical values. A gene or gene product used in an assay is stored using the appropriate PomBase systematic ID and the relation assayed_using; the relation is converted to affecting in the gene page display. If a mutation affects an activity that modifies another gene product, extensions may capture the affected enzyme, the affected substrate, or both. The relation assayed_enzyme is displayed as affecting activity of on gene pages, and assayed_substrate is shown as affecting substrate.

Similar displays are used for multi-locus phenotypes. Unless otherwise noted below, all items are as described above for single-locus phenotype displays.

The multi-locus summary shows FYPO terms and genotype descriptions:

multi-locus FYPO summary view on gene page
  1. The FYPO term name, which links to the page for the term.
  2. Genotype details, including a name (if one is used in the literature) and descriptions for the relevant alleles (where known). Mouse over any genotype name to show more allele details, or click to go to the genotype detail page. Multiple genotypes annotated to the same term are separated by commas. Diploid genotypes specify both alleles for each locus, and are shown in bold.
  3. Display filters for ploidy and FYPO terms (as described above for single-locus phenotypes).

The detailed view includes:

multi-locus FYPO full view on gene page
  1. The unique ID and name for a term in the phenotype ontology, with links to the FYPO term page.
  2. Genotype details, including a name (if one is used in the literature) and descriptions for the relevant alleles (where known). Mouse over any genotype name to show more allele details, or click to go to the genotype detail page. Multiple genotypes annotated to the same term are listed one per line. Diploid genotypes specify both alleles for each locus, and are shown in bold.
  3. Display filter for ploidy, FYPO terms, evidence, and throughput (see above).
  4. Evidence description (see above).
  5. Experimental conditions (see above).
  6. The paper from which the annotation comes.

Annotation extensions are also included in the multi-locus Summary and Full views (although none are included for the annotations in the above illustrations), using the same display as for single-locus phenotypes.

Also see the Advanced search documentation for information on finding genes annotated to phenotype terms.

Gene page: Protein features

Gene pages for protein-coding genes have a section describing protein features. Also see the Modifications documentation.

gene page protein features
  1. The graphical view is interactive, and shows the positions of domains and other features. Mouse over any feature to highlight its entry in the table, and to see a pop-up with the feature ID, name, nad position.
  2. The table of protein families and domains is described in more detail below.
  3. This section provides manual curation that ensures that large protein families (e.g. the WD family) include all known members. These manual annotations are provided because many families in protein family databases are rebuilt during the release cycle to include new sequences, and as a result gene products are sometimes lost or gained from protein families, and false negatives are common. This section is also used to capture published subfamily members which may be collected into a single family in protein family databases.
  4. Any motifs or features annotated using Sequence Ontology (SO) terms.
  5. Table of the protein’s physical properties

Protein Families and Domains

gene page protein domains
  1. Feature ID of this family or domain in the originating database. Where feasible, the ID links to the source database. Databases include Pfam, SMART, Prosite, Gene3D, SUPERFAMILY, TMHMM and Panther.
  2. Source database name
  3. Name of the matching feature in the contributing database
  4. ID of the InterPro entry that includes the feature. InterPro classifies proteins into families using predictive models provided by several different databases that make up the InterPro consortium. InterPro is useful for assessing the species distribution of a particular family or domains.
  5. The description of the domain in InterPro, from the contributing database
  6. Start and end coordinates, showing the location of the feature within the protein
  7. Link to a list of other fission yeast proteins which are members of the family or have the domain
  8. Link to the InterPro entry for the feature
  9. Link to the Pfam entry for the protein, which shows domain organization
  10. Transmembrane domain coordinates, where applicable

Note that some of the listed features (e.g. transmembrane domains from TMHMM) are predictions. Consult the contributing databases for further information, or contact the PomBase curators if you notice any problems with annotated or predicted features.

Gene page: Sequence

The Sequence section of a gene page provides a widget to download DNA sequences for any gene, and amino acid sequences for protein-coding genes, as well as links to send sequences to BLAST. For protein-coding genes, the predicted amino acid sequence is displayed by default:

peptide sequence section
  1. If two or more transcripts are annotated for a gene, the primary transcript is shown by default. Use the selector to switch between transcript isoforms.

  2. Toggle to show the amino acid sequence for protein-coding genes (not available for non-coding RNA genes, which always show nucleotide sequence).

  3. Button to save the displayed sequence to a file, with the following options:

    • Displayed Sequence as FASTA
    • Genome region as GenBank: This feature downloads the genome region, in GenBank format. The file always includes the introns, exons and UTRs. You can include extra upstream or downstream sequences, if the “Show nucleotide sequence” is toggled but other settings are ignored. Files can be opened in sequence viewers (Snapgene, Ape, Benchling…) and contain the sequence feature annotations (CDS with labelled introns, translated sequence, UTRs, etc.).
    • Genome region as EMBL: Same as previous one, but in EMBL format.
  4. Links to send the displayed sequence to BLAST at NCBI or Ensembl.

  5. The peptide sequence header shows the transcript ID and the protein length.

For non-coding RNA genes, and for protein-coding genes with “Show nucleotide sequence” selected, more options are available:

DNA sequence section
  1. Transcript selector (as above)

  2. Toggle to show the amino acid sequence (not available for non-coding RNA genes).

  3. Controls to add UTRs, introns, or flanking sequences to the displayed sequence. For upstream or downstream sequence, use the up/down control to increment by one base, or type or paste a number in the box.

  4. Link to save the displayed sequence to a file.

  5. Links to send the displayed sequence to BLAST at NCBI or Ensembl. DNA sequences link to BLASTN by default.

  6. The nucleotide sequence header shows the transcript ID and indicates what is included.

When the “Show translation” option is selected, irrelevant controls are hidden and BLASTP links are shown:

sequence section showing translation

Gene page: Target of

The “Target of” section describes genes that affect the gene of interest. Genes listed under “Target of” may include upstream regulators or enzymes that modify the product of the gene of interest. For example, the “Target of” annotations for S. pombe cdc2 indicate that it is a substrate of, and regulated by, the kinase Wee1 and the phosphatase Cdc25 (among others).

Target of data are derived by taking the reciprocal of ontology annotation extensions (using GO annotation extensions and phenotype annotation extensions). The table includes:

  • Ontology: GO or FYPO, i.e. the ontology in which the annotation was made
  • Relationship: indicates how the genes are connected. The relationship is the reciprocal of the relation used in the originating annotation extension, as noted in the Annotation extension relation display documentation.
  • Gene: the gene whose product affects the gene of interest.
  • Product: the targeting gene’s product description.
  • Reference (hidden in “summary” view): the source of the annotation.

Gene page: Transcript

The Transcript section of a gene page shows the positions of introns and exons in each transcript. The default is a graphical view:

Transcript section (default)

The default view shows one diagram per annotated transcript, with intron and exon positions hidden. Click “Show exon/intron/UTR positions” to display a table under each transcript diagram:

Transcript section (expanded)
  1. ID(s) and genomic location(s). The transcript systematic ID is the gene systematic ID with a suffix appended. The primary transcript suffix is “.1”, and any additional annotated transcript isoforms receive sequentially numbered suffixes.

  2. By default, intron and exon positions are shown in the table as genomic coordinates. When the “Show transcript coordinates” button is checked, positions in the table are numbered using the annotated transcription start site as 1.

  3. Mouse over any exon or intron to highlight its coordinates in the table, and bring up a box with position details. Genomic coordinates and within-transcript positions appear in the pop-up no matter which is selected in the main display.

  4. Mouse over any entry in the exon/intron tables to show the box with position details.

Genetic and physical interactions

The Interactions section of a gene page displays genetic and physical interactions for a gene (or its product), in BioGRID format. All interactions are curated manually by PomBase or BioGRID curators.

Each table has five columns:

The first column (with no header) describes the interaction. The text reflects the type of evidence listed in the Evidence column and, where applicable, the directionality of the interaction.

Interacting gene: The gene that interacts with the gene of interest, linked to its gene page

Interacting product: The description of the interacting gene’s product, from its gene page

Evidence: The type of genetic interaction observed, or the type of experiment performed to detect a physical interaction. The evidence categories come from BioGRID, and are described on their Experimental Evidence Codes documentation page.

Reference: The paper cited to support the interaction

Additional fields for Genetic Interactions

Since November 2022, new or updated Genetic Interaction annotations are linked to phenotype annotations and alleles. We continue to display interactions in the old format by default (showing only genes and interaction type), but if you expand the annotation, you can view the associated genotypes and phenotypes.

During filter

More on Genetic Interactions

The definitions of all genetic interactions can be found in the BioGRID wiki. It is worth reading these definitions, as the language often used in publications does not match the naming of genetic interactions. For example, in publications we can find “double deletion of gene X and Y rescues the defects cellular morphology caused by deletion of gene Y”. However, for BioGRID this is a phenotypic suppression not a rescue, since rescue is reserved for lethality or growth defect. The genetic interactions that are used in low throughput curation in PomBase are:

  • Dosage Growth Defect: Overexpression/increased dosage of one gene causes a growth defect in a strain that is mutated/deleted for another.
  • Dosage Lethality: Overexpression/increased dosage of one gene causes lethality in a strain that is mutated/deleted for another gene.
  • Dosage Rescue: Overexpression/increased dosage of one gene rescues the lethality or growth defect of a strain mutated/deleted for another gene.
  • Phenotypic Enhancement: Mutation/deletion/overexpression of one genes results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation/deletion/overexpression of another gene.
  • Phenotypic Suppression: Mutation/deletion/overexpression of one gene results in suppression of any phenotype (other than lethality/growth defect) associated with mutation/deletion/overexpression of another gene.
  • Synthetic Growth Defect: Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a significant growth defect under a given condition.
  • Synthetic Lethality: Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in lethality under a given condition.
  • Synthetic Rescue: Mutation/deletion of one gene rescues the lethality or growth defect of a strain mutated/deleted for another gene.

In addition, we curate the following types of genetic interaction not covered by BioGrid.

  • Synthetic Phenotype: Mutation/deletion/overexpression in separate genes produces a phenotype that is not present in either of the single mutations/deletions/overexpressions under a given condition.

When exporting the data to BioGrid, “Synthetic Phenotype” genetic interactions are exported as “Phenotypic Enhancement”, see this GitHub issue for details.

Below is a decision making tree to determine the type of genetic interaction from the phenotypes of the single and double mutant. “Interacting allele” refers to the allele that is not present in the single mutant:

Decision making for genetic interactions

Genotype pages

Genotype pages are analogous to gene pages, but describe the alleles that make up a genotype, and show phenotypes associated with the genotype.

genotype page
  1. The genotype name. A short and/or memorable name can be assigned, but otherwise the default name is constructed by concatenating the names of the alleles that make up the genotype.

  2. Each genotype in composed of one or more alleles. The table lists details for each allele of interest in the genotype. Any curated background details will be shown above the table of alleles.

    1. Gene name, linked to its gene page
    2. Allele name and description. For point mutations and partial deletions, the description specifies the positions, and indicates altered residues for point mutations.
    3. The allele type specifies what kind of change the allele description represents, e.g. amino acid mutation, deletion, other.
    4. The expression level indicates the amount of gene product present in the assayed cells, or “Not assayed or wild type” if the level was not directly measured.
  3. Phenotypes annotated to the genotype are displayed as described in the gene page documentation.

  4. For diploid genotypes, the table of details includes both alleles of each locus:

diploid genotype details

The Locus column contains the gene name, linked to its gene page, and spans two rows, one for each allele at the locus. Allele details are as described for haploid genotypes.

Getting started

Getting started in the Schizosaccharomyces pombe community

To get started as a new community member, you can:

  • Join the pombe mailing list with more than 1300 subscribers, where you can ask and answer questions about fission yeast generally, get notifications about PomBase updates and get invitations to the monthly online seminar PombeTalks. Join here.
  • Join the pombe Slack channel, to get in touch with other fellow Schizosaccharomyces pombe researchers. See the instructions to join here. If this is your first time using Slack, you can get started with this guide.
  • Read the basics about Schizosaccharomyces pombe biology and experimental methods in the Forsburg Lab website.
  • Read about the history and importance of Schizosaccharomyces pombe as a model system PMC4896181 and a primer introducing genetic and bioinformatic tools: PMC4596657

For PomBase help you can read our Frequently Asked Questions or send us an email at helpdesk@pombase.org.

If you use Pombase for your research, please cite or acknowledge the resource in your publications. This is extremely important to indicate the importance of resources to funders. How to cite PomBase.

Types of pages in PomBase

PomBase is centred around Gene Pages so this is a good place to begin to familiarise yourself with how data is organised. You should visit your favourite gene page, but for this example we are using pol1, the DNA polymerase alpha catalytic subunit. You can access the page by typing the gene name (i.e. pol1) into the search box at the top-right of the website, or at this link.

At the top of the page, you will find some basic information about the locus and gene product. Immediately below is a view of the genomic context of the gene in the JBrowse genome browser. (documentation to access browser data tracks is here):

Top of gene page
Read more about the names of genes…

The same gene may be known by different names. In PomBase, we consider three types:

  • Systematic ID, a unique identifier that represents exclusively this gene in Schizosaccharomyces pombe.
  • Gene standard name, the most commonly used name of this gene, that may not be exclusive to pombe, and could even be used as a synonym of other fission yeast genes. This name will frequently be the same as the orthologous gene in S. cerevisiae, (the ortholog of pol1 in S. cerevisiae is also called pol1), but be aware there are many notable examples where the same name is used for different genes in other species. Some genes don’t yet have a standard name, but if you study them you can name them.
  • Synonyms, alternative names for this gene that have been used in the literature before. We encourage you to use the standard name in publications where possible.

On the left side of the Gene Page, there is a menu listing the sections in the page (GO molecular function, GO biological process, etc.). Each section contains different kinds of annotations. Go through them and click on the button to see what information is displayed in each section. Most sections show a “summary view” of the experimentally relevant information so that it is easier to consume the biological context. The “Show details” link uncollapses the section to show important associated information such as evidence and provenance, often presenting multiple sources supporting the same annotation. You also will notice that many of the displayed annotations are blue and link to other types of pages:

  • GO term pages: contain the definition of the GO term and lists all the genes annotated to a specific GO term and its “child” terms.

    Read more…
    • GO annotations link a gene to a GO term that describes the molecular function(s) of its gene products, the process(es) they are involved in their localisation in the cell or their presence in macromolecular complexes.
    • A term name may change over time, but if the meaning of a definition changes the term must be obsoleted, and the associated genes reannotated to the correct definition. This makes the term definition critical and curators must always ensure that the definition is appropriate for the annotation.
    • A GO term can be linked to several parent terms through relationships. Let’s take the term GO:0001055 (RNA polymerase II activity), graph below.
      • RNA polymerase II activity is a GO molecular function.
      • This activity is a specific type of GO:0003899 (DNA-directed 5’-3’ RNA polymerase activity), so GO:0001055 is linked to GO:0003899 through an is_a relationship.
      • This activity is part of the GO biological process GO:0006366 (Transcription by RNA polymerase II), so GO:0001055 is linked to GO:0006366 through a part_of relationship.
      • This activity occurs at the GO cellular component GO:0000785 (chromatin) so GO:0001055 is linked to GO:0000785 through a occurs_in relationship. AmiGO ontology relationship tree for GO:0001055
    • In PomBase GO term pages, for simplicity we do not present inter-ontology links and only link to children and parent terms of the same ‘aspect’ (i.e molecular function, biological process, cellular component) these include terms related to each other by the relationships is_a, part_of and the 3 ‘regulates’ relationships. For instance, in the page of GO molecular function GO:0003899 (DNA-directed 5’-3’ RNA polymerase activity):
      • We include GO:0001055 (RNA polymerase II activity), which is also a GO molecular function, linked to GO:0003899 through an is_a relationship
      • We do not include the cellular component GO:0000428, linked to the molecular function GO:0003899 through a capable_of relationship.
      • If you expand a term by clicking on the ‘+’ icon on its left, you can see the relationship to the term in the current page.
    • Learn more about GO, its development and use in analyses in this webinar by former PomBase curator Antonia Lock.

  • Phenotype pages the Fission Yeast Phenotype Ontology (FYPO) term pages: provide the phenotype definition and list all the genotypes annotated to a FYPO term and its ‘child’ terms, as well as link to the parent terms. Read more…

    Read more…
    • As for GO, the simplest relationship between FYPO terms is is_a, in which the child term describes a more specific phenotype than the parent. For example, FYPO:0006885 (decreased protein level at mitotic spindle) is_a FYPO:0001324 (decreased protein level during vegetative growth), which in turn is_a FYPO:0001325 (altered protein level during vegetative growth).
    • Other relationships also exist, such as output_of, which links a given phenotype to another that causes it. For example, FYPO:0000118 (multiseptate vegetative cell) is output_of FYPO:0000032 (abnormal cytokinesis). Therefore, in the page of FYPO:0000032, the annotations of FYPO:0000118 are also displayed.
    • Read more about FYPO, our phenotype ontology here.

  • Genotype pages: contain all the phenotypes associated with a genotype as well as the alleles that constitute that genotype. Example: mal3delta.

  • Other ontology term pages. Read more

Advanced search / query builder

You can query PomBase annotations using a Graphical User Interface, the “Advanced search” (https://www.pombase.org/query). You can make lists of genes that satisfy a certain condition, and perform operations with these lists. Below some examples:

  • Disease-associated genes that give a cytoskeleton phenotype in Schizosaccharomyces pombe:

    Read how to make this query…
    • Get the list of all disease-associated genes:
      • Click on Commonly used queries > All disease associated genes.
    • Get the list of all genes annotated with a cytoskeleton phenotype:
      • Click on Phenotype
      • Type “abnormal cytoskeleton” and select FYPO:0002397.
      • Click on Submit
    • You should see two queries in the Combine queries table below named “genes annotated with”abnormal cytoskeleton” […]” and ”All disease associated genes”. Select both by clicking on the tickbox on the left.
    • Then click on intersect / and. This will generate an intersection of both lists (genes present in both) with genes that satisfies both conditions.
    • The number in the “Results” column is the number of genes that satisfy those conditions. Click on it to see the lists of genes.
    • In that page, you can choose the columns to be displayed, and export your data for further usage.

  • Genes that locate to the Golgi apparatus or the endoplasmic reticulum and cause an exocytosis or endocytosis phenotype.

    Read how to make this query…
    • Get the list of all genes that have annotations saying that one of their gene products locates to the Golgi apparatus (they are annotated to GO:0005794, “Golgi apparatus”):
      • Click on GO
      • Type “Golgi apparatus” and select GO:0005794.
      • Click on Submit
    • Get the list of all genes that have annotations saying that one of their gene products locates to the endoplasmic reticulum (they are annotated to GO:0005783, “endoplasmic reticulum”).
      • Click on GO
      • Type “endoplasmic reticulum” and select GO:0005783.
      • Click on Submit
    • In the Combine queries table below, select both genes annotated with “Golgi apparatus” and genes annotated with “endoplasmic reticulum” by clicking on the tickbox on the left.
    • Then click on Union / or. This will generate a union of both lists (genes present in either of the lists) with genes that satisfy either condition.
    • Get the list of all genes annotated with an exocytosis phenotype:
      • Click on Phenotype
      • Type “abnormal exocytosis” and select FYPO:0007873
      • Click on Submit
    • Get the list of all genes annotated with an endocytosis phenotype:
      • Click on Phenotype
      • Type “abnormal endocytosis” and select FYPO:0003886
      • Click on Submit
    • Do a union of the phenotype lists, as for the GO terms.
    • Still in the Combine queries table, select both union lists, and click on intersect / and. This will generate an intersection of both lists (genes present in both) with genes that satisfies both conditions.
    • The number in the “Results” column is the number of genes that satisfy those conditions. Click on it to see the lists of genes.
    • In that page, you can choose the columns to be displayed, and export your data for further usage.

Full documentation of advanced search can be found here.

High Confidence Physical Interaction Network (HCPIN)

The PomBase High Confidence Physical Interaction Network (HCPIN) is a collection of physical interaction data based on three subsets of Gene Ontology (GO) annotations:

  1. Manually curated protein binding annotations. PomBase curators annotate genes to the GO “protein binding” molecular function term (GO:0005515) when proteins are shown experimentally to interact in a pairwise, and presumably direct, manner, often by more than one method
  2. Targets or substrates of biochemical activity (e.g. protein kinases or phosphatases, protein methyltransferases, ubiquitin-protein ligases). When one protein is shown experimentally to modify another, a GO molecular function annotation represents the activity, and the target(s) can be captured using annotation extensions. For example, Cdc2 phosphorylates Cut3, so it is annotated to ‘protein serine/threonine kinase activity’ with the extension ‘has substrate cut3’.
  3. GO protein complex annotations. The HCPIN set includes both annotations supported directly by fission yeast experiments and those inferred from an experimentally characterised ortholog.

The data can be downloaded in tab-delimited format from the Download Datasets page.

Identifier mapper

The identifier mapper retrieves S. pombe gene systematic IDs and standard names for a selection of different input ID types:

  • Find S. pombe genes using UniProt accessions
  • Retrieve manually curated orthologs for
    • S. cerevisiae: Use standard gene names (CDC28, ACT1, etc.), ORF names (YPR121W, YPL258C, etc.), or SGD IDs (SGD:S000004494, SGD:S000004635, etc.)
    • Human: use standard gene names (CDK1, BRCA2, etc.) or HGNC identifiers (e.g. HGNC:1722)
    • S. japonicus: use standard gene names (cdc11, pka1, etc.) or systematic IDs (e.g. SJAG_01188)

Select an input identifier type in the pulldown, and enter IDs by typing, pasting, or uploading a file:

identifier mapper input page

Click “Clear” to empty the input box or “Lookup” to retrieve results.

For all query types, the number of matching S. pombe genes is shown at the top. Any unmatched IDs are shown next.

identifier mapper results for S. cerevisiae orthologs
  1. “Go back” returns to the start page, with the search settings and IDs you used filled in.

  2. You can use the list of matching S. pombe genes in the Advanced Search “Gene names and IDs” query.

  3. For orthology ID searches, matching S. pombe genes may fall into any of into three categories:

  • one-to-one
  • one-to-many
  • many-to-one
  1. All result lists show two columns: the entered ID(s) and the matching S. pombe gene(s). Links go to PomBase gene pages. If there is a single result in the one-one or one-many section, it is displayed by default. Longer lists, and many-to-one matches, are hidden by default. Use the “Show matches/Hide matches” links to toggle the display.

For S. pombe UniProt accessions, almost all results are one-to-one; the show/hide toggle works the same as for ortholog results.

PomBase Web Site Help & Documentation

General

Gene Pages

Searching

JBrowse Genome Browser

  • Getting started with PomBase JBrowse - an introductory guide to browser navigation, track loading, metadata, etc. (by Antonia Lock)
  • Also see the General entry in the JBrowse Help menu
  • See “File Formats” below to submit data

QuiLT

  • Documentation for the Quick Little Tool for gene list visualisation

Non-gene sequence features

Other PomBase Pages

How to Cite PomBase

File Formats for Data Submission

PomBase accepts batch submissions of certain types of data that appear on PomBase gene pages. For these data types, we use dedicated PomBase-specific formats:

For data that can be connected with sequence features or coordinates, and displayed as tracks in the genome browser, see the data format FAQ and further details linked there.

Linking to and from PomBase

  • Linking to PomBase: To link to any PomBase gene page, use the systematic ID for the gene in a URL with the syntax “https://www.pombase.org/gene/[systematic ID]”. For example, https://www.pombase.org/gene/SPBC11B10.09 links to the gene page for cdc2.

  • Linking from PomBase to external resources: We can provide links from PomBase gene pages to gene- or gene product-specific S. pombe data for any resource that uses URLs with PomBase systematic IDs. Please contact the PomBase Curators for more information.

Comparative Genomics

We plan to add specific documentation about comparative genomics using S. pombe here. In the meantime, you can look at the documentation for Ensembl Compara.

More information …

For help with anything in PomBase not covered here, you can contact the curators.

Miscellaneous sequence features

View sequence features in Artemis

Sequence features can also downloaded from data directory and viewed in Artemis. See this FAQ for more information.

Centromeres

Modification data bulk upload format

PomBase welcomes submissions of published large-scale modification data sets. We have devised a tab-delimited text file format for bulk modification data.

Include a header line that labels the columns – use the entry in the Contents column below as the column header text.

Column Contents Example Mandatory? Multiple entries allowed?
1 Gene systematic ID SPBC11B10.09 Yes No
2 Gene name cdc2 No No
3 Ontology ID MOD:0000001 Yes No
4 Evidence ECO:0000006 Yes No
5 Residue S72 No Yes
6 Extension added_by(PomBase:SPBC11B10.09) No Yes
7 Reference PMID:24763107 Yes No
8 Taxon 4896 Yes No
9 Date 2014-05-01 Yes No

Notes:

At present we accept protein modification data, using PSI-MOD IDs in the Ontology ID column. We plan to accept RNA modification data in the future. More information is available in the gene page modifications documentation.

Use one line per modified position (multiple entries are allowed only in the Extension column).

File columns:

  1. Include the systematic ID for each gene. You can look up systematic IDs on gene pages, or refer to the file of all gene names from the dataset download page.
  2. Gene names are optional. If you include them, use standard names in column 2 (see gene pages or the file of all gene names from the dataset download page.
  3. For help finding suitable ontology (PSI-MOD) terms to describe your phenotypes, see the Canto protein modification documentation. If you can’t find a term you need, email the helpdesk for assistance; we can advise you, and request new terms as needed.
  4. For the Evidence column, we use a small selection from the Evidence Ontology (ECO). You are welcome to enquire with us in advance to find out which ECO terms/IDs fit your experiments, but we can accept files with brief descriptions, which curators will convert to ECO IDs.
  5. The Residue column indicates the position modified. For protein modifications, use one-letter amino acid code. Multiple entries are allowed, but only for cases where two or more of the same modification are known to be present at the same time. Separate entries with commas (e.g. S72,T85). Position numbering should reflect the current sequence data in PomBase. Please refer to the Gene Coordinate Changes page to ensure that your residue position entries are up to date. Also note that histones are conventionally numbered assuming the initiator methionine is removed (i.e. every position in the mature protein is numbered, and is 1 less than the apparent numbering predicted by translating the ORF).
  6. See the table below for allowed annotation extensions. Multiple extensions can be included for a modification. Separate extensions with a comma (,) if they combine to form a “compound” extension (all parts apply together), or with a pipe (|) if they are independent. You can also use separate rows for annotations with independent extensions.
  7. The Reference column has the publication’s PubMed ID (PMID).
  8. The taxon will usually be 4896 (the NCBI taxon ID for Schizosaccharomyces pombe), although if you have an NCBI taxon ID for a specific S. pombe strain you are welcome to use it
  9. The date is the date on which the annotations are created; you may use the paper publication date or the date on which you prepare your data file. Format: YYYY-MM-DD

Allowed annotation extensions:

Annotation extensions can be used to provide additional information, such as a gene whose product adds or removes a modification, a process or cell cycle phase during which a modification is present, or modification site occupancy (see the gene page modifications documentation for more information). Each annotation extension consists of a relation and either an identifier or a number.

Extension relation Meaning Example
added_by identifies a gene product that adds the modification added_by(PomBase:SPBC11B10.09)
affected_by identifies a gene product that has some influence on the modification, but has not been conclusively shown to add or remove it affected_by(PomBase:SPBC11B10.09)
removed_by identifies a gene product that removes the modification added_by(PomBase:SPAC24H6.05)
added_during identifies a biological process or cell cycle phase during which the modification is actively added added_by(GO:0000085)
removed_during identifies a biological process or cell cycle phase during which the modification is removed removed_by(GO:0000087)
present_during identifies a biological process or cell cycle phase during which the modification is observed (note that the modification may have been added during this process – if this is known use the added_during relation – or during a preceding process) present_during(GO:0000085)
absent_during identifies a biological process or cell cycle phase during which the modification is not observed (note that the modification may have been removed during this process – if this is known use the removed_during relation – or during a preceding process) absent_during(GO:0000087)
decreased_in_presence_of use when the modification is observed at a lower level in the presence than in the absence of an extraneous substance decreased_in_presence_of(CHEBI:84327)
increased_in_presence_of use when the modification is observed at a higher level in the presence than in the absence of an extraneous substance increased_in_presence_of(CHEBI:84327)
required_for indicates that a modification is required for a GO function or process required_for(GO:0000086)
occupancy percent representing what proportion of copies of the protein have the modification occupancy(51.5%)
level_fluctuates_during identifies a biological process (e.g. the cell cycle or one or more of its phases) during which the modification site occupancy is observed to vary level_fluctuates_during(GO:0000278)
multiplicity number of modified sites detected within the same peptide fragment (relevant to mass spec. methods) multiplicity(2)
in_absence_of This relation is used to indicate attenuation of the activity of a specific gene product (either by deletion or inactivation). This extension must be used with an additional extension describing the modification in_absence_of(PomBase:SPBC11B10.09)
decreased_during identifies a biological process or cell cycle phase during which the modification is actively increased decreased_during(GO:0034605)
increased_during identifies a biological process or cell cycle phase during which the modification is actively deceased increased_during(GO:0034605)

Please contact the PomBase curators if you have any questions about what to use for modification IDs, Evidence, annotation extensions, or anything else you need to represent your data in this format.

The peptide motif search finds short peptide sequence matches in the predicted amino acid sequences of S. pombe proteins.

Type or paste a motif using the single-letter amino acid code. As you type, matches will appear. The results table shows each matching sequence in the context of a longer stretch of the protein sequence. The list of genes with one or more matches can be sent to the advanced search.

The search can also use wildcards, codes for groups of amino acids (e.g. any charged amino acid), and syntax to specify motifs at the beginning or end of a protein:

Sequence will find
CADR any protein containing CADR
CA[DE]R any protein containing CADR or CAER
CA[DE]+LQ CA(any sequence of D and E)LQ
CA…R CA(any three amino acids)R
CA.+R CA(one or more amino acids)R
SPR. SP.R
^ME proteins beginning with ME
LAA$ proteins terminating LAA
^.{{ "{1,20}MCA" }} proteins with MCA in the first 20 amino acids

Amino acid group codes

AA group Code Amino acids
acidic 0 DE
alcohol 1 ST
aliphatic 2 AGILV
aromatic 3 FHWY
basic 4 KRH
charged 5 DEHKR
hydrophobic 6 AVILMFYW
hydrophilic 7 KRHDENQ
polar 8 CDEHKNQRST
small 9 ACDGNPSTV
tiny B AGS
turnlike Z ACDEGHKNQRST

Examples:

  • CA6AC will find CALAC and CAFAC
  • CA0+LQ will find CA(any sequence of D or E)LQ

Ontology term pages

For each ontology term loaded into PomBase, a page summarizes essential details about the term, and shows any annotations to it or its descendants via is_a, part_of, and the regulates relations (the GO documentation on Ontology Structure and Ontology Relations has some useful information on this topic). For FYPO terms only, the has_part relation is also used.

The main illustrations use a GO term page. Note that not all ontology terms have all of the depicted features.

ontology term page
  1. Ontology term details. The term’s name, ID, and definition are shown.
  2. The term’s immediate parent(s), linked to the corresponding ontology term page(s).
  3. Links to external browsers are available for some ontologies. GO, FYPO and PSI-MOD terms have links to BioPortal, and GO term pages also link to AmiGO and QuickGO. SO IDs link to MISO.
  4. Link to a page that lists genes annotated to the term or its descendants. From the linked page, the gene list can be sent to the advanced search for use in queries.
  5. In the annotation summary view, the term of interest is listed first, followed by any descendant term that has direct annotations. For each term, genes (or genotypes) are listed in a compact display, with separate lines only for unique combinations of gene, term, and extension. As in the gene page summary display, most details are hidden.

As on gene pages, a more detailed annotation display is available:

ontology term page
  1. The detailed view shows one line per annotation, with separate entries for repeat determinations of a given gene/term/extension combination (if supported by more than one line of evidence and/or reported in more than one paper). The annotated gene (or genotype) is listed in the first column.
  2. The rest of the detailed annotation display (term name, extensions, evidence, reference, etc.) is as described in the gene page documentation for each annotation type.
  3. The table is organized into sections, one per descendant term, and each section includes genes annotated directly to the indicated term. An icon near each descendant term ID shows the relationship type that links the terms. For example, a meiotic spindle astral microtubule (GO:1990574) is a type of astral microtubule, and a mitotic spindle astral microtubule is part of an astral microtubule.

FYPO term pages have a few distinctive features:

ontology term page
  1. Links near the top of the page go to lists of genes and genotypes.
  2. The annotation display is split into single-allele and multi-allele sections, as on gene pages.
  3. Annotated genotypes (rather than genes) are listed for each term.
  4. In the detailed view, evidence filtering is available as described in the gene page documentation.

Ontology term pages are available for GO, FYPO, SO, PSI-MOD, and PomBase internal ontologies including the PBO description collection, the PomGeneEx descriptions for qualitative gene expression, and FYECO (previously known as PECO) for phenotype experimental conditions.

Ortholog curation

The “Orthologs” section of a gene page includes two subsections.

The first lists any orthologous genes in budding yeast (Saccharomyces cerevisiae) or human (Homo sapiens) that have been assessed and recorded manually, as described below, by curators. Budding yeast entries link to the Saccharomyces Genome Database (SGD), and human genes link to HGNC; the text descriptions come from these databases. For more information, including how to search the curated orthologs, see the FAQs on budding yeast and human orthologs.

The second subsection provides links to several resources that predict orthologs in all fungi or all species (PomBase does not manually curate orthologs in species other than budding yeast and human). For further information, see the FAQ on orthologs in additional species. (Note: these links also appear in the External references section.)

Manual ortholog prediction methods: The human and budding yeast orthologs are manually predicted based on a variety of sources. In some cases the consensus ortholog from the major ortholog predictors (Compara, Inparanoid, OrthoMCL) is used. Many distant orthologs have also been identified by PSI-BLAST matches; these alignments have been submitted to the Pfam protein family database. Other ortholog predictions come from experimental data demonstrating functional correspondence or involving membership of corresponding complexes. These predictions are also aligned and submitted to Pfam before inclusion. PomBase’s approach ensures that the breadth of coverage is greater than any individual prediction method, and includes many ortholog calls which are not detected by any automated method. Gradually, we will add and display supporting references for all orthology calls.

Paralogs

The Paralogs section lists any curated paralogous fission yeast genes.

Phenotype data bulk upload format

PomBase welcomes submissions of published large-scale phenotype data sets. We have devised a tab-delimited text file format for bulk phenotype data. A similar format is used for the downloadable file of single-allele phenotype data (with one more column at the start of each line to identify PomBase as the source; note that, because Database is column 1 in the downloadable file, column numbers differ by 1 between the download and upload formats).

Include a header line that labels the columns – use the entry in the Contents column below as the column header text.

Column Contents Example (from S. pombe) Mandatory? Multiple entries allowed?
1 Gene systematic ID SPBC11B10.09 Yes No
2 FYPO ID FYPO:0000001 Yes No
3 Allele description G146D Yes No
4 Expression overexpression Yes No
5 Parental strain 975 h+ Yes No
6 Background strain name SP286 No No
7 Background genotype description h+ ura4-D18 leu1-32 ade6-M210 No No
8 Gene name cdc2 No No
9 Allele name cdc2-1w No No
10 Allele synonym wee2-1 No Yes
11 Allele type amino acid mutation Yes No
12 Evidence ECO:0000336 Yes No
13 Condition at high temperature Yes Yes
14 Penetrance 85% No No
15 Severity medium No No
16 Extension assayed_using(PomBase:SPBC582.03) No Yes
17 Reference PMID:23697806 Yes No
18 taxon taxon:4896 Yes No
19 Date 2012-01-01 Yes No
20 Ploidy homozygous diploid No No

Notes:

Please include all 19 columns. If you have nothing to put in one of the non-mandatory columns, include the header and leave the column blank in the rest of the rows.

  1. Include the systematic ID for each gene. You can look up systematic IDs on gene pages, or refer to the file of all gene names from the dataset download page.
  2. For help finding suitable ontology (FYPO) terms to describe your phenotypes, see the FYPO summary page and the FAQ on browsing FYPO. If you can’t find a term you need, email the helpdesk for assistance; we can add new FYPO terms as needed.
  3. The allele description specifically describes the change; see table below.
  4. In the Expression column, use one of these values: ‘overexpression’, ‘knockdown’, ‘endogenous’, ‘null’, ‘not specified’. Deletions should always have ‘null’ expression.
  5. The Parental strain column is for the parental strain designation, such as 972 h-, 975 h+, etc. This column must be filled in, but you can use “unknown” if you don’t know the original background.
  6. Use the Strain name (background) column for a lab’s in-house name/ID/designation for the background strain (i.e. the derivative of the parental strain that has selectable marker alleles etc.). The description in the Genotype column should match this background strain.
  7. The Genotype description column is for alleles in the background, such as selectable markers; these details are optional. To avoid redundancy, do not repeat the allele of interest (from column 3 or 9) in the genotype column.
  8. Gene names are optional. If you include them, use standard names in column 8 (see gene pages or the file of All Gene Names from the dataset download page).
  9. Allele names are optional. If you include them, use column 9 for the preferred allele name, and put any alternative names in column 10.
  10. See note 9 above. Separate multiple entries with pipes (|).
  11. Allowed allele types, example descriptions, etc. are shown in the table below.
  12. For the Evidence column, we use a small selection from the Evidence Ontology (ECO). You are welcome to enquire with us in advance to find out which ECO terms/IDs fit your experiments, but we can accept files with brief descriptions (such as those in the Canto phenotype evidence option list), which curators will convert to ECO IDs.
  13. Similarly, Conditions use a small ontology maintained in-house by PomBase curators, and we can either advise you about which terms/IDs to use, or convert from text to IDs when we receive your file. Use multiple entries in cases where more than one condition detail applies at the same time (e.g. high temperature, minimal medium). Separate multiple entries with commas (,). Use separate lines if a phenotype is observed under more than one set of conditions (e.g. high and low temperature).
  14. Penetrance describes the proportion of a population that shows a cell-level phenotype. Use decimals, percents, or “high” (above 80%), “medium” (20-80%), or “low” (less than 20%). We will convert to suitable IDs for loading. Penetrance data will be displayed as annotation extensions on gene pages.
  15. Severity (formerly designated “expressivity) uses”high” (synonym: strong), “medium”, or “low” (synonym: weak). We will convert to suitable IDs for loading. Severity data will be displayed as annotation extensions on gene pages.
  16. The Extension column can be used to record when a mutation in one gene affects another gene or its product. For example, if a mutation in gene A decreases its ability to phosphorylate protein B, you can use the phenotype “decreased protein kinase activity” and put the ID for gene B in an extension. Multiple extensions can be included for a phenotype annotation. Separate extensions with a comma (,) if they combine to form a “compound” extension (two or more genes assayed together), or with a pipe (|) if they are independent. Most phenotype extensions will be independent and pipe-separated.
  17. The Reference column has the publication’s PubMed ID (PMID).
  18. The taxon will usually be 4896 (the NCBI taxon ID for Schizosaccharomyces pombe), although if you have an NCBI taxon ID for a specific S. pombe strain you are welcome to use it
  19. The date is the date on which the annotations are created; you may use the paper publication date or the date on which you prepare your data file. Format: YYYY-MM-DD
  20. We can currently capture only haploid and homozygous diploid datasets via PHAF files. Allowed values for this column are “haploid” and “homozygous diploid”. If the column is empty the dataset is assumed to be haploid. If you have a phenotype dataset for non-homozygous diploids please contact the Helpdesk

Details for allele types and descriptions:

General note: Nucleotide and amino acid positions should reflect the current sequence data in PomBase. Please refer to the Gene Coordinate Changes page to ensure that your residue position entries are up to date.

For protein-coding genes, number nucleotide residues from 1 starting with the A of the initiator ATG.

For histones, amino acid residue numbering assumes that the initiator methionine is removed.

Allele type (col. 11) Example allele description (col. 3) Notes
amino acid mutation S123A use one-letter code; if more than one change, separate with comma(s)
deletion deletion use this description for complete deletions
nucleotide mutation C123A if more than one change, separate with comma(s)
disruption pab1::ura4+ expression will usually, but not always, be null
other RGTPI inserted after I254 include a brief text description
partial amino acid deletion 1-100 or A123* indicate deleted residues; use comma-separated ranges for discontinuous deleted segments; use * for nonsense mutations.
partial nucleotide deletion 500-800 indicate deleted residues; use comma-separated ranges for discontinuous deleted segments
unknown unknown an allele name is required if the type and description are unknown
wild type wild type use with altered expression (overexpression or knockdown) for single-allele phenotypes

Please contact the PomBase curators if you have any questions about what to use for Evidence, Conditions, etc., or anything else you need to represent your data in this format.

Return to the Fission Yeast Phenotype Ontology page

GO Slims - Gene Ontology subsets

“GO slims” are subsets of the Gene Ontology (GO) that provide a broad overview of annotation distribution. Slims can offer a useful overview of a genome or the results of a large-scale experiment. For more information on GO slims, please see PomBase GO Slimming Tips and the GO Subset Guide at the Gene Ontology website.

PomBase provides a GO slim term set for each major branch of GO:

Each fission yeast GO slim has been constructed to optimise coverage of gene products annotated to terms in the branch of GO. For the biological process and cellular component branches, coverage is almost complete; the molecular function branch has somewhat lower coverage. These slims provide good starting points for users who wish to identify terms of biological interest to create a “custom slim”, or to become familiar with the genome contents.

In the GO slim tables, GO IDs link to the QuickGO browser, where you can explore the ontology and annotations further. The annotation totals include annotations to the slim term and to descendants following the is_a, part_of, regulates, positively_regulates, and negatively_regulates relationships, and link to gene lists. (Note: the cellular component ontology does not contain any “regulates” links.)

The GO biological process slim table also includes links to visualisations in esyN for the physical interaction network of genes annotated to each term.

The bottom of each GO slim page lists some simple statistics: the total number of gene products annotated to slim terms, and the number of protein-coding gene products not covered by the slim, either because they are not annotated to any term in the GO branch, or because they have annotations to terms not covered by the slim.

Current GO slim IDs and term names can be downloaded from the PomBase ftp site:

Publication pages

For each publication loaded into PomBase, a page summarizes essential details about paper, and shows any annotations that cite it.

publication page top details
  1. Publication details, including links to PubMed and EuropePMC

  2. Any community curators who have contributed annotations via Canto are acknowledged.

  3. Summary views are identical to those on gene pages (GO example).

  4. In detailed views annotations are displayed as on gene pages, except that a column for the annotated gene is included and the Reference column is omitted.

  5. Term and evidence filtering are available for phenotype annotations as described in the gene page documentation.

Like gene pages, publication pages include annotations of all types, with summary and detailed views available for most types:

publication page

Qualitative gene expression bulk upload file format

PomBase welcomes submissions of published large-scale gene expression data sets. We have devised a tab-delimited text file format for bulk data representing qualitative assessments of protein or RNA levels.

Note: Please use this format only for data that you want to appear in the “Qualitative gene expression” section of PomBase gene pages. If you have gene expression data that should be included as a data track in the PomBase genome browser (microarray, RNASeq, etc.), please use the data submission form for HTP sequence-linked data.

Include a header line that labels the columns – use the entry in the Contents column below as the column header text.

Column Contents Example Mandatory? Multiple entries allowed?
1 Gene systematic ID SPBC11B10.09 Yes No
2 Gene name cdc2 No No
3 Type protein Yes No
4 Evidence ECO:0000006 Yes No
5 Qualifier increased Yes No
6 Extension during(GO:0000084) Yes Yes
7 Reference PMID:18203864 Yes No
8 Taxon 4896 Yes No
9 Date 2014-05-01 Yes No
  1. Include the systematic ID for each gene. You can look up systematic IDs on gene pages, or refer to the file of all gene names from the dataset download page.
  2. Gene names are optional. If you include them, use standard names in column 2 (see gene pages or the file of all gene names from the dataset download page.
  3. Type: what was measured; use “RNA” or “protein”
  4. For the Evidence column, we use a small selection from the Evidence Ontology (ECO). You are welcome to enquire with us in advance to find out which ECO terms/IDs fit your experiments, but we can accept files with brief descriptions, which curators will convert to ECO IDs.
  5. The Qualifier column uses a small vocabulary to describe what is observed about the RNA or protein level. Use one of: present, absent, unchanged, increased, decreased, constant, fluctuates
  6. The Extension column documents circumstances under which the RNA or protein level is observed (or changes). Follow one of these patterns:
    • “during(GO:0000084)” - when a specific biological process, such as a response to a stimulus, is taking place, or during a cell cycle phase
    • “in_presence_of(CHEBI:18420)” - when a specific chemical substance is present
    • “in_absence_of(CHEBI:18420)” - when a specific chemical substance is absent
    • “occurs_in(GO:0005634)” - when the level is observed in part, rather than all, of a cell
  7. The Reference column has the publication’s PubMed ID (PMID).
  8. The taxon will usually be 4896 (the NCBI taxon ID for Schizosaccharomyces pombe), although if you have an NCBI taxon ID for a specific S. pombe strain you are welcome to use it
  9. The date is the date on which the annotations are created; you may use the paper publication date or the date on which you prepare your data file. Format: YYYY-MM-DD

Quantitative gene expression bulk upload file format

PomBase welcomes submissions of published large-scale gene expression data sets. We have devised a tab-delimited text file format for bulk data representing representing protein or RNA copy number per cell.

Note: Please use this format only for data that you want to appear in the “Quantitative gene expression” section of PomBase gene pages. If you have gene expression data that should be included as a data track in the PomBase genome browser (microarray, RNASeq, etc.), please use the data submission form for HTP sequence-linked data.

Include a header line that labels the columns – use the entry in the Contents column below as the column header text.

Column Contents Example Mandatory? Multiple entries allowed?
1 Gene systematic ID SPBC11B10.09 Yes No
2 Gene name cdc2 No No
3 Type protein Yes No
4 Extension during(GO:0051329) No No
5 Copies per cell 1234 Yes No
6 Range 1100-1350 No No
7 Evidence ECO:0000006 Yes No
8 Scale single_cell Yes No
9 Condition minimal medium, high temperature Yes Yes
10 Reference PMID:23101633 Yes No
11 Taxon 4896 Yes No
12 Date 2014-05-01 Yes No
  1. Include the systematic ID for each gene. You can look up systematic IDs on gene pages, or refer to the file of all gene names from the dataset download page.
  2. Gene names are optional. If you include them, use standard names in column 2 (see gene pages or the file of all gene names from the dataset download page.
  3. Type: what was measured; use “RNA” or “protein”
  4. The Extension column documents circumstances under which the RNA or protein level is observed (or changes). Follow one of these patterns: “during (GO:0000084)” - when a specific biological process, such as a response to a stimulus, is taking place, or during a cell cycle phase; “in_presence_of(CHEBI:18420)” - when a specific chemical substance is present; “occurs_in(GO:0005634)” when the level is observed in part, rather than all, of a cell.
  5. Copies per cell: can be an average
  6. Range: optional; use if the experimental method yields a range of copies/cell
  7. For the Evidence column, we use a small selection from the Evidence Ontology (ECO). You are welcome to enquire with us in advance to find out which ECO terms/IDs fit your experiments, but we can accept files with brief descriptions, which curators will convert to ECO IDs.
  8. Scale: whether levels are determined for a single cell or a cell population as a whole; use “single_cell” or “population”
  9. Conditions use a small ontology maintained in-house by PomBase curators, and we can either advise you about which terms/IDs to use, or convert from text to IDs when we receive your file.
  10. The Reference column has the publication’s PubMed ID (PMID).
  11. The taxon will usually be 4896 (the NCBI taxon ID for Schizosaccharomyces pombe), although if you have an NCBI taxon ID for a specific S. pombe strain you are welcome to use it
  12. The date is the date on which the annotations are created; you may use the paper publication date or the date on which you prepare your data file. Format: YYYY-MM-DD

Quick Little Tool

PomBase’s Quick Little Tool (QuiLT) allows you to view multiple types of annotation for genes in a list in a single graphical display.

Quick Little Tool display

Finding QuiLT

On any gene list page, including Advanced Search results and the gene lists linked to ontology term pages, click the “Visualise” button to reach QuiLT. To return to the previous page, use the “Finish visualisation” button.

Adding and sorting annotations

In the QuiLT display, each row represents a single gene, and each column is an annotation type.

Use the checkboxes (1) to toggle an annotation type on and off. When annotations are shown, a link appears to sort on that annotation type. You may want to try different combinations of which types are shown, and which used to sort the list, until you get a display you like. You can download the graph (with key) in SVG format at any time (2). The key (4) shows only terms used to annotate genes in the list, so for small gene lists not all terms may appear.

Click on a row to select a single gene, or click on a box in any column (3) to select all genes in it. In the displayed gene list, you can clear the selection (5) or use the “Filter” button (6) to create a new gene list from the selection (which you can then visualise in QuiLT).

Sharing results

Each QuiLT visualisation page has a stable, unique URL that you can bookmark, copy/paste, and share. Anyone who follows a shared link will see QuiLT displaying the same gene list. Clicking the “Advanced Search” button adds a query that would produce the gene list to the query history.

Available annotation types

At present, QuiLT includes:

  • Deletion viability
  • Presence or absence of budding yeast orthologs
  • Presence or absence of human orthologs
  • Presence or absence of transmembrane domains
  • GO biological process
  • GO cellular component
  • GO molecular function
  • Characterization status for protein-coding genes
  • Taxonomic distribution
  • Protein length

GO annotation precedence

In each branch of GO, only one term per gene can be included for display. If a gene is annotated to more than one GO term, one is selected for the QuiLT display according to a set order of precedence:

  • GO biological process
    • signaling (GO:0023052)
    • gene expression (GO:0010467)
    • chromatin organization (GO:0006325)
    • protein folding (GO:0006457)
    • cellular component biogenesis (GO:0044085)
    • DNA metabolic process (GO:0006259)
    • cell cycle (GO:0007049)
    • cytoskeleton organization (GO:0007010)
    • membrane organization (GO:0061024)
    • organelle localization (GO:0051640)
    • lipid metabolic process (GO:0006629)
    • small molecule metabolic process (GO:0044281)
    • generation of precursor metabolites and energy (GO:0006091)
    • transport (GO:0006810)
    • cellular catabolic process (GO:0044248)
    • detoxification (GO:0098754)
    • other (i.e none of the above)
    • unknown
  • GO cellular component
    • nucleus (GO:0005634)
    • endoplasmic reticulum (ER; GO:0005783)
    • mitochondrion (GO:0005739)
    • cytoplasm (GO:0005737)
    • other (i.e none of the above)
    • unknown
  • GO molecular function
    • oxidoreductase activity (GO:0016491)
    • hydrolase activity (GO:0016787)
    • transferase activity (GO:0016740)
    • ligase activity (GO:0016874)
    • cyclase activity (GO:0009975)
    • lyase activity (GO:0016829)
    • other catalytic activity (any other descendant of GO:0003824)
    • molecular adaptor activity (GO:0060090)
    • enzyme regulator activity (GO:0030234)
    • DNA binding (GO:0003677)
    • transcription regulator activity (GO:0140110)
    • transporter activity (GO:0005215)
    • cytoskeletal protein binding (GO:0008092)
    • unfolded protein binding (GO:0051082)
    • RNA binding (GO:0003723)
    • metal ion binding (GO:0046872)
    • lipid binding (GO:0008289)
    • cell adhesion mediator activity (GO:0098631)
    • structural molecule activity (GO:0005198)
    • other (i.e none of the above)
    • unknown

The simple search is available via the search box in the header on every PomBase page:

Simple search mouseover help

The simple search works for:

  • Fission yeast gene names, synonyms, and systematic IDs
  • Fission yeast gene product descriptions
  • Human orthologs of fission yeast genes — search by standard gene symbols
  • Budding yeast orthologs of fission yeast genes — search by standard gene names, ORF names, or SGD IDs
  • Publications — search by PubMed ID
  • Ontology terms — search by term ID

Start typing to see a pulldown of autocomplete matches, then choose one, or if there is a single match simply hit return, to go to the matching gene page.

Simple search autocomplete matches

For publications or ontology terms, type or paste an ID as directed. If no autocomplete suggestions appear, enter the ID and hit return to execute the search.

Taxonomic conservation

The Taxonomic conservation section provides manually assigned classifiers of taxon distribution (at the domain/kingdom level) of the product of a protein-coding gene. The classifiers come from a small controlled vocabulary maintained by PomBase curators. All applicable terms are assigned to a protein.

For each annotation, the summary view shows a text description, which corresponds to an entry in the internal PBO term set. The detailed view adds the PBO ID and a count that links to the ontology term page for the description.

Taxonomic conservation terms

  • These terms identify the taxonomic groups in which gene product ortholog(s) have been identified:
    • conserved in archaea
    • conserved in bacteria
    • conserved in eukaryotes
    • conserved in fungi
    • conserved in metazoa
    • conserved in vertebrates
  • These two terms represent taxon restrictions, and indicate that a gene product has not been detected outside these taxa:
    • conserved in fungi only
    • conserved in eukaryotes only
  • Other terms
    • Schizosaccharomyces specific - indicates that a gene product is only identified in the genus Schizosaccharomyces at present, but is present in more than one species in this genus
    • Schizosaccharomyces pombe specific - indicates that a gene product is identified only in S. pombe, not in any other species even in the Schizosaccharomyces genus
    • no apparent S. cerevisiae ortholog - indicates a gene product which is conserved at least outside the Schizosaccharomyces but is absent from S. cerevisiae
    • faster evolving duplicate - indicates that the copy of a gene product which has duplicated after the divergence of Schizosaccharomyces from other yeasts is evolving faster than its duplicate partner (judged because the fission yeast duplicate is more closely related to the orthologs in other species, but is the best hit of this gene product)
    • predominantly single copy (one to one) - the gene product is conserved largely one-to one across species with minor exceptions (for example, frequently duplicated in the vertebrate lineage)
    • orthologs cannot be distinguished - the gene product appears to be conserved, but it is not possible to identify orthologs unambiguously

Additional notes:

  • Any term which has “conserved in fungi” but does not have “no apparent S. cerevisiae ortholog” will have a manually annotated S. cerevisiae ortholog.
  • Any gene product which is annotated as “conserved in vertebrates” will have a manually annotated human ortholog.

Downloadable Documents

Note: Your browser may prompt you to open or download the linked documents.

Conferences and Workshops

International Fission Yeast Meeting series

pombe2017 Banff, Alberta, Canada 14-19 May 2017

pombe2015 Kobe, Japan 21-25 June 2015

pombe2013 London, UK 24-29 June 2013

pombe2011 Boston, MA, USA 25-30 June 2011

Other Conferences and Workshops

Other documents

pombe2011 - 6th International Fission Yeast Meeting

Boston, MA, USA, 25-30 June 2011

PomBase Posters

pombe2013 - Seventh Interational Fission Yeast Meeting

London, UK, 24-29 June 2013

Abstracts

PomBase presentations

Talks

  • Tuesday Lunchtime: Paper Curation - Midori Harris and Antonia Lock
  • Thursday Lunchtime: PomBase Gene Pages and the Genome Browser - Val Wood and Mark McDowall

Posters

pombe2015 - Eighth International Fission Yeast Meeting

Kobe, Japan, 21-26 June 2015

PomBase presentations

Talks

Posters

pombe2017 - 9th International Fission Yeast Meeting

Banff, Alberta, Canada, 14-19 May 2017

PomBase Posters

Talk

The new, improved PomBase

External link to conference program

Annotation datasets

Chado database dumps

The nightly release of PomBase data includes a dump from the PomBase Chado database.

Archived Chado data dumps are also available for download. From January 2018 onwards, monthly data snapshots are provided. Earlier archived dumps correspond to the intermittent PomBase releases made between July 2012 and January 2017. For these dumps, the file names include release numbers that correspond to the “Annotation Version” numbers in the Data version history table.

Please contact the curators if you need any data not available at the links above.

Genome sequence and features

Note that most of the datasets available here are compressed (.gz), and can be uncompressed by utilities available in all common operating systems. Your browser may prompt you to open or download files.

Genome sequence

The current genome sequence is available in FASTA format. The linked directory contains a file for the whole genome sequence as well as separate files for each chromosome.

Feature coordinates only

These files contain coordinates, but no sequence data:

  • GFF3 format files contain coordinates for features of all types.
  • CDS coordinates are in a tab-delimited file with columns for systematic ID, start coordinate, end coordinate, and strand.
  • Exon coordinates are in the same tab-delimited file format as CDS coordinates.

Feature coordinates and sequence data

Feature sequences

Sequences in FASTA format for:

  • Coding sequences (CDS)
  • CDS + introns
  • CDS + introns + UTRs
  • Introns within coding sequences
  • 5’ and 3’ UTRs
  • Peptide sequences

Genomic regions

Region Description
Telomeres Telomeric sequence
Centromeres Centromeric sequence and maps
Mating Type Region Links to genome browser for 972 h- (chromosome 2 coordinates) and h+ (mating region contig)

Other data

GO annotations

S. pombe GO annotations are available as tab-delimited files in GAF 2.2 format. The files include annotations made by manual literature curation, annotations inferred from keyword mappings based on curated descriptions, and annotations shared by the UniProt GOA team.

Annotation files

Protein complexes

Also see the list of protein complexes, which uses GO macromolecular complex terms and IDs.

Notes

The contents of the files downloadable from PomBase may differ from files available elsewhere (e.g. see this FAQ), and will not include annotations inferred by transitivity (see this FAQ).

Previous versions of the S. pombe GO annotation file can be retrieved from the archive directory. Note that files produced before March 2021 are only available in GAF 2.1 format.

To cite the fission yeast GO data, please see Citing PomBase.

Downloads

  • Datasets: Genome sequence and features, annotations, etc.
  • Documents: Conference materials, manuals, reports, etc.
  • Chado database dumps: Dumps of curated data stored in the PomBase Chado database.

Introns

Downloadable intron datasets are available in FASTA format

Note that you can also use the Advanced Search to find all genes containing introns, as described in the FAQ on introns.

Legacy intron data

We also provide access to archived intron data. Please note that this set of intron data reflect the dataset at the time of publication of the S. pombe genome sequence, and does not include any new introns, or changes to introns, since then. The intron data archive includes:

  • List of all S. pombe intron-containing genes
  • List of all S. pombe genes with exon numbers
  • S. pombe intron sequences in FASTA format (donor sequence and final 35 bases of acceptor)
  • All introns with branch site aligned
  • Donor frequency
  • Branch frequency
  • A README file is available with additional descriptions of file contents

PomBase name and identifier mappings

These files are available in the names and IDs directory

Systematic ID to UniProt accession number

  • PomBase2UniProt.tsv tab-delimited file with the PomBase systematic identifier for each protein-coding gene mapped to the corresponding UniProt accession number

Gene names

  • gene_IDs_names.tsv tab-delimited file of systematic ID, primary gene name (where assigned), and all synonyms for each gene

  • gene_IDs_names_products.tsv tab-delimited file of systematic ID, primary gene name (where assigned), chromosome, product description, UniProtKB accession, all synonyms, and product type (protein coding, ncRNA, etc.) for each gene

Systematic ID to gene product

Files include systematic name, primary name (where assigned), synonyms (where assigned), and gene product description

Note: A tab-delimited file of systematic identifiers mapped to EC numbers was previously maintained, but has not been updated since March 2012. The most recent version of the gp2EC.txt file is available in the archive, but because it is out of date it may contain errors or omissions.

Phenotype annotations

Phenotype annotations (link downloads gzipped file from PomBase) for alleles of S. pombe genes are manually curated from the literature using Fission Yeast Phenotype Ontology (FYPO) terms. Note: this file contains annotations for single allele phenotypes (single mutants) only.

The file is in a version of the PomBase phenotype data bulk annotation format (PHAF), detailed below. This format in nearly identical to the one that can be used to submit phenotype annotations to PomBase in bulk, as described on the Phenotype data bulk upload format page, with the addition of the Database column. Note that, because Database is column 1 in the downloadable file, column numbers differ by 1 between the download and upload formats.

Propagating phenotype annotations: Note that the file contains only direct annotations to FYPO terms. It does not include annotations that can be inferred by propagating between terms within the ontology. To make full use of the FYPO annotation data, we strongly recommend also using the ontology structure and inferred annotations. Please contact the PomBase helpdesk if you need assistance.

Viability summary

A set of “viability summary” data as shown at the top of the FYPO table on each gene page, is available as a downloadable file. The file has two columns: the gene systematic ID and one of three values: “viable”, “inviable” or “condition-dependent”.

To cite the fission yeast phenotype data (complete or viability summary), please see Citing PomBase.

PHAF download format

A column marked “mandatory” will always have an entry; non-mandatory columns may be empty.

Column Contents Example Mandatory? Multiple entries allowed?
1 Database PomBase Yes No
2 Gene systematic ID SPBC11B10.09 Yes No
3 FYPO ID FYPO:0000001 Yes No
4 Allele description G146D Yes No
5 Expression overexpression Yes No
6 Parental strain 975 h+ Yes No
7 Background strain name SP286 No No
8 Background genotype description h+ ura4-D18 leu1-32 ade6-M210 No No
9 Gene name cdc2 No No
10 Allele name cdc2-1w No No
11 Allele synonym wee2-1 No Yes
12 Allele type amino acid mutation Yes No
13 Evidence ECO:0000336 Yes No
14 Condition at high temperature Yes Yes
15 Penetrance 85% No No
16 Severity medium No No
17 Extension assayed_using(PomBase:SPBC582.03) No Yes
18 Reference PMID:23697806 Yes No
19 taxon taxon:4896 Yes No
20 Date 2012-01-01 Yes No
21 Ploidy homozygous diploid No No

Notes:

  1. The database that produced the file – included to facilitate data sharing with other databases. Obviously always PomBase for this file. (Also note that PHAF files submitted for loading can omit this column.)
  2. The systematic ID for each gene.
  3. To use the FYPO IDs, see the FYPO summary page and the FAQ on browsing FYPO.
  4. The allele description specifically describes the change; see the Phenotype data bulk upload format for details on allele types and descriptions.
  5. The Expression column contains one of these values: ‘overexpression’, ‘knockdown’, ‘endogenous’, ‘null’, ‘not specified’. Deletions always have ‘null’ expression.
  6. The Parental strain column is for the parental strain designation, such as 972 h-, 975 h+, etc. This column must be filled in, but “unknown” is allowed.
  7. The Background strain name column is used for a lab’s in-house name/ID/designation for the background strain (i.e. the derivative of the parental strain that has selectable marker alleles etc.). The description in the Genotype column should match this background strain.
  8. The Background genotype description column is for alleles in the background, such as selectable markers; these details are optional. To avoid redundancy, it does not repeat the allele of interest (from column 4 or 10) in the genotype column.
  9. Gene names are optional for upload, but are included where available in the download.
  10. Allele names are optional for upload, but are included where available in the download. Column 10 lists the preferred allele name, and any alternative names are in column 11.
  11. See note 10 above. Multiple entries are separated with pipes (|).
  12. Allowed allele types, example descriptions, etc. are shown in the table at the bottom of the Phenotype data bulk upload format page.
  13. For the Evidence column, we use a small selection from the Evidence Ontology (ECO). Please contact the Helpdesk if you need assistance using these IDs
  14. Similarly, Conditions use a small ontology maintained in-house by PomBase curators, and we can help you interpret the IDs. Multiple entries are shown in cases where more than one condition detail applies at the same time (e.g. high temperature, minimal medium), and are separated with commas (,).
  15. Penetrance describes the proportion of a population that shows a cell-level phenotype. Penetrance data are represented as percents or entries from the in-house FYPO_EXT ontology (FYPO_EXT:0000001 = high; FYPO_EXT:0000002 = medium; FYPO_EXT:0000003 = low; FYPO_EXT:0000004 = full).
  16. Severity (formerly designated “expressivity”) uses the FYPO_EXT ontology described in note 15.
  17. The Extension column is used to record when a mutation in one gene affects another gene or its product. For example, if a mutation in gene A decreases its ability to phosphorylate protein B, the A allele is annotated to the phenotype “decreased protein kinase activity” with the ID for gene B in an extension. In the downloadable file, an annotation can have multiple comma-separated extensions if they combine to form a “compound” extension (e.g. two or more genes assayed together).
  18. The Reference column has the publication’s PubMed ID (PMID).
  19. The taxon will usually be 4896 (the NCBI taxon ID for Schizosaccharomyces pombe), although an NCBI taxon ID for a specific S. pombe strain would be allowed.
  20. The date is the date on which the annotations are created. Format: YYYY-MM-DD
  21. PHAF format is only suitable for haploid and homozygous diploid phenotypes so the only possible values for this column are “haploid” and “homozygous diploid”.

Protein datasets

The full protein dataset is available in FASTA format (link downloads gzipped file from PomBase).

The protein data directory contains assorted data (see the README for file formats):

Also see the protein modification annotations directory.

Community

Data submission and formats

Finding data

Gene page

Genome browser

Genome statistics and lists

Frequently asked questions

Welcome to the PomBase FAQ. Choose a link in the left-hand menu to see the questions and answers in that category.

If you can’t find the information you need here or in the PomBase documentation, please contact the Helpdesk.

Orthology

Tools and resources

Using ontologies

Can I access PomBase via an API?

There are two APIs for PomBase data:

  • InterMine: more advanced and is updated regularly
  • Ensembl: updated less often but is better known
InterMine API

The PomBase data can be accessed programmatically using the InterMine API. See the InterMine Documentation and examples to find out more.

Available data types include:

  • gene and protein identifiers and other properties
  • allele and genotypes
  • annotation details (genes, genotypes, ontology terms, evidence codes and PubMed IDs)

InterMine Client libraries are available in multiple languages.

Ensembl API

This API can be used to query S. pombe data in Ensembl Genomes. Note that EG is updated much less frequently than PomBase, so EG data will rarely be as up-to-date as the PomBase web site.

Documentation:

  1. Ensembl Genomes Perl API installation and basic use instructions - Includes links to additional Ensembl API documentation
  2. Tutorial for using the API with the core database - Includes examples about connecting to the database, retrieving chromosomes, genes, transcript and translations along with the corresponding xrefs

Can I access PomBase via SQL?

PomBase does not have a publicly accessible SQL query server, but Chado database dumps (PostgresQL) are available to download and query locally.

The Ensembl Fungi MySQL database server does provide access to query S. pombe data. Note, however, that Ensembl Genomes (EG) is updated much less frequently than PomBase, so EG data will rarely be as up-to-date as the PomBase web site.

MySQL dumps of EG data, including Schizosaccharomyces species, are available from EG’s FTP site.

Can I convert a file from GFF to GTF?

PomBase does not offer a GFF-to-GTF converter. There is a perl script on SEQanswers, which uses the module Bio::Tools::GFF from the BioPerl library, available from http://seqanswers.com/forums/showpost.php?p=22529&postcount=4

Can I convert a file from GTF to GFF3?

PomBase does not offer a converter. The Sequence Ontology project offers a conversion tool available for download or usage via web form from their GitHub site

Can I convert IDs from other databases to or from PomBase IDs?

PomBase has an identifier mapper that retrieves S. pombe gene systematic IDs and standard names for a selection of different input ID types:

  • Find S. pombe genes using UniProt accessions
  • Retrieve manually curated orthologs for
    • S. cerevisiae: Use standard gene names (CDC28, ACT1, etc.), ORF names (YPR121W, YPL258C, etc.), or SGD IDs (SGD:S000004494, SGD:S000004635, etc.)
    • Human: use standard gene names (CDK1, BRCA2, etc.) or HGNC identifiers (e.g. HGNC:1722)
    • S. japonicus: use standard gene names (cdc11, pka1, etc.) or systematic IDs (e.g. SJAG_01188)

For UniProt IDs, we also provide a static mapping file of PomBase systematic IDs and UniProtKB accessions, available on the Data Mapping page and by FTP from https://www.pombase.org/data/names_and_identifiers/PomBase2UniProt.tsv.

For IDs not included in the PomBase mapper, we suggest you try the EBI’s PICR web service (http://www.ebi.ac.uk/Tools/picr/), which can convert between UniProtKB, RefSeq, Ensembl Genomes (including S. pombe systematic IDs), and many other common database IDs.

For other Schizosaccharomyces species (S. japonicus, S. octosporus, S. cryophilus), the PICR service converts between UniProtKB accessions and the identifiers used in Rhind et al. Comparative functional genomics of the fission yeasts (PMID:21511999), but with one caveat: the IDs used by PICR, UniProtKB, and QuickGO contain underscores, whereas those in Rhind et al. do not (e.g. SJAG_00455 versus SJAG00455). The IDs with underscores are correct.

Can I do an enrichment analysis using phenotypes?

A small number of enrichment tools use phenotype data. See the FAQ on FYPO term enrichment.

Can I download all S. pombe phenotype data?

Yes, the Phenotype annotations page offers two options, a complete phenotype annotation file and a “viability summary” for deletion mutants. At present, the full file contains all manually curated single mutant phenotypes, and is in the same format as PomBase uses for bulk phenotype data submissions (see the file formats FAQ). Further information on the viability summary is available in the essential genes FAQ.

Can I download the interaction data used by esyN?

The S. pombe networks in esyN use the PomBase High Confidence Physical Interaction Network (HCPIN) data. The data can be downloaded in tab-delimited format from the Download Datasets page, which links to an FTP directory with two files. One contains physical interaction data, and the other contains GO substrate data. Each file lists two gene systematic IDs and a reference identifier (usually a PubMed ID).

Can I download the sequence for a whole chromosome?

Yes, sequence and feature annotations data files are available for each chromosome on the Genome datasets page.

Can I download sequences for many genes at once, including flanking regions?

Yes; first use the advanced search to find the set of genes you want (see the documentation as needed).

Click on a count in the query history to see the results, with a button for “Download” options. In the popup, click on the Sequence tab, select Nucleotide, then tick boxes to add any of: 5’ UTR, introns, 3’ UTR. To include flanking sequences, type or use the arrow buttons to set the desired length of upstream and downstream sequence.

Can I export data for a sequence region from the genome browser?

To download track data from the genome browser (or follow a link from a gene page), first, make sure the you have enabled the track(s) of interest (see the FAQ on showing tracks if necessary).

Next select a region by entering coordinates or by highlighting it. For any data track, click on the end of the track label to show the dropdown menu, and choose “Save track data”. In the popup that appears, choose a data format, edit the file name if desired, and click “Save”.

Most track data are available in GFF3 format; other options will depend on the data type (e.g. BED, Wiggle, etc.).

See the PomBase JBrowse guide for more information.

Can I find all of the unconserved (orphan) genes in fission yeast?

Orphan genes are generally defined as genes without homologs in other organisms. In PomBase, protein-coding genes conserved in the Schizosaccharomyces genus are distinguished from genes conserved only in S. pombe.

To retrieve either set of genes, use the “Taxonomic conservation” query in the Advanced Search. Choose “Schizosaccharomyces specific” for genes found in more than one Schizosaccharomyces species, or “Schizosaccharomyces pombe specific” for genes found only in S. pombe. See the Advanced Search documentation for help with performing searches.

Historical note: Prior to August 2014, PomBase and its predecessor GeneDB referred to single-copy genes conserved within, but not outside, the Schizosaccharomyces genus as “sequence orphans”. See the Gene characterisation statistics history page for more details (note that the gene characterisation classifications reflect whether a gene has been studied experimentally as well as the extent of its conservation).

Can I find promoters in PomBase?

There are very few manually curated promoters in PomBase; they are included in the forward and reverse strand feature tracks, which are enabled by default. To search the manually curated promoters, we suggest that you use Artemis. Follow the instructions in this FAQ, and search for features with “Key” = “promoter”.

Computationally identified matches to the DNA binding sites found in S. pombe are available as a data track in PomBase JBrowse. To launch JBrowse with the track loaded, use this link.

The genome browser also includes transcription start site datasets, such as the CAGE-defined transcription start sites across 5 different conditions from Thodberg et al. (2018).

We will also soon add the dataset from Li et al. (2015) Genome-wide analysis of core promoter structures in Schizosaccharomyces pombe with DeepCAGE. RNA Biol. 12:525-37 (PMID:25747261), which was available in the previous version of the PomBase genome browser.

We will also add any new promoter data sets that are submitted to us.

Can I find replication origins in PomBase?

Replication origins cannot yet be viewed or searched as features on PomBase pages, but they can be displayed on tracks in the genome browser. Select one or more of the tracks with data type “Replication Origins” (see the browser track FAQ if necessary).

You can also use the data collated by Conrad Nieduszynski in S. pombe OriDB:

Can I find unmapped genes in PomBase?

PomBase maintains a list of genetic loci that have not been cloned or mapped. The page lists the names published for the loci and the publications that use the names. In a few cases, unmapped loci have been shown to be allelic with each other.

Note that some locus names coincidentally match the standard names of cloned genes. In these cases PomBase curators have determined that the unmapped locus is not the same as the named gene.

Can I generate a comprehensive restriction enzyme map of the genome in PomBase?

No, but this can be done within Artemis.

Install Artemis (available from http://www.sanger.ac.uk/science/tools/artemis; for S. pombe we recommend using Artemis Version 16.

You can then read in the EMBL format chromosome contig files of sequence and annotation (available from the Genome datasets page). To generate a restriction map:

  1. Create a new entry using the “Create” menu item “New Entry”
  2. Toggle off the main annotation by un-checking the chromsome contig file (this will make your new file “no name” the active entry).
  3. Save your new file with your preferred name.
  4. Use the Create menu option “Mark From Pattern” to create features for any restriction patterns of interest and save them into your file.
  5. You can add “color” labels to distinguish the different restriction sites. See the Artemis FAQ and the Artemis manual (pdf; Sanger site) for additional information.

Can I get cDNA sequences for S. pombe?

A file of cDNA sequences in FASTA format is available on the Genome datasets page, under the “Feature sequences” heading.

Can I get a file with a specific set of genome features?

The genomic GFF3 file available on the Genome datasets page includes all gene features, but not LTRs or other repeats. The files in EMBL and GenBank formats contain all annotated sequence features.

Another option for extracting all annotated features (or if you need to specify which feature types to include) is to use the Ensembl API.

See the FAQ “Can I access PomBase via an API?” for more information on using the API.

Can I get a list of essential pombe genes?

If an essential gene is deleted, the cell cannot survive under normal laboratory conditions. A search for deletion alleles annotated to the Fission Yeast Phenotype Ontology term “inviable vegetative cell population” (FYPO:0002061) would therefore identify essential fission yeast genes. Similarly, deletion alleles annotated to “viable vegetative cell population” (FYPO:0002060) represent non-essential genes.

Note that viability/inviability annotations are fairly complete for protein-coding genes, but very few non-coding RNA genes have been tested.

Downloadable summary

A set of “viability summary” data, as shown at the top of the FYPO table on each gene page, is available as a downloadable file. The file has two columns: the gene systematic ID and one of three values: “viable”, “inviable” or “condition-dependent”.

Querying

  • To find genes annotated to “inviable vegetative cell population”, You can also set up the query manually: select the “phenotype” query and type or paste the ID, FYPO:0002061. Select the “Null” option for “Expresion level” and submit the query. The results include all genes that showed inviable phenotypes in the HTP deletion project as well some manually annotated genes. Similarly, there is a query for genes annotated to “viable vegetative cell population” (FYPO:0002060).

  • For some deletion mutants, viability depends on experimental conditions, which cannot yet be queried in PomBase. These genes are annotated to both viable (FYPO:0002060) and inviable (FYPO:0002061) at once. To find them, do both searches above, then click the boxes beside both in the query history table and click the “Intersect” button (equivalent to the “AND” operator).

  • See the advanced search documentation for more information on performing the searches described here.

A brief note about FYPO terms

At present, there are very few null mutants annotated as inviable in life cycle stages other than vegetative growth, and “inviable vegetative cell population” best fits the most common usage of “essential gene”. If you do want to include other stages (such as “inviable spore”), you can use the very generic term “inviable cell population” (FYPO:0002059) or “viable cell population” (FYPO:0002058) in your query. All of the caveats about alleles and conditions still apply.

Query links

Can I get a list of systematic IDs, primary names, synonyms and gene products in S. pombe?

Yes: From the PomBase name and identifier mappings page, retrieve this file:

https://www.pombase.org/data/names_and_identifiers/sysID2product.tsv

Also consider other files listed on the page.

Can I obtain a dump of all curated data in PomBase?

Data that appear on gene pages – sequence feature annotations, ontology annotations, etc. – are stored in a database that uses the Chado schema. Snapshots of the PomBase Chado database are available via the Downloads page.

Can I provide a list of genes to search on?

Yes, you can type or paste a list, or upload a file, into the “Gene names and IDs” query in the advanced search. Note that usisg systematic IDs is the best way to avoid ambiguity. Names or IDs can be separated by spaces, commas, or newlines. Click “Lookup” to retrieve the results. You can use the list in the query history to combine with other queries, or download selected details for the genes. See the documentation to learn more.

Can I retrieve annotations to metabolic databases such as EC, MetaCyc, Reactome, or Rhea for S. pombe genes?

The best way to find metabolism-related annotations for S. pombe genes is to use the GO annotation data available from PomBase in combination with mappings between GO terms and entries in the various metabolism-oriented databases.

For example, many GO molecular function (MF) terms representing enzymatic activities are mapped to the corresponding Enzyme Commission (EC) number for the reaction, and some are also mapped to entries from KEGG or from the Rhea database of annotated chemical reactions. GO MF and biological process (BP) terms may be annotated to reactions or pathways, respectively, in MetaCyc or Reactome.

A complete list, with descriptions and links, is available on the GO Consortium’s Cross-References page.

Can I retrieve functional annotations for genes in a list?

You can find the GO annotations for your genes corresponding to functional roles and localizations. Our recommended approach depends on how many specific topics you are interested in:

  • For a small number of specific GO terms (e.g. localization to the nucleus or cytoplasm, or a role in signaling or DNA metabolism), you can use the advanced search. Paste your gene list into the “Gene names and IDs” query, and then combine it with a GO query for each term of interest (see the search documentation for more information).

  • If you are interested in many GO terms, or if you do not know in advance which terms may be relevant, we recommend that you use a “GO term enrichment” tool. Such tools are typically used to find terms overrepresented for a gene list, but can be used to retrieve all GO annotations if the p-value threshold is set artificially high.

Both the Advanced Search and term enrichment tools take advantage of the hierarchical structure of GO, such that annotations to specific terms are propagated to “ancestor” terms via is_a and part_of relations. See the PomBase GO documentation, and the GO Consortium documentation linked there, for more information. (These approaches also make it easier to maintain and update your data than storing individual GO annotations locally.)

Also see the FAQ on GO term enrichment and the PomBase GO Slim documentation page.

Can I retrieve a list of the S. pombe GO slim terms?

Yes, you can download the term names and IDs for the each of the fission yeast GO slims, and the Mondo Disease Ontology slim:

Current GO slim IDs and term names

Current fission yeast Mondo Disease Ontology slim IDs and term names

For further information on using the S. pombe slims, please see the PomBase GO slim pages (biological process, molecular function, cellular component), GO slimming tips, and GO slim documentation.

Can I retrieve the sequence for any of the cosmids used to build the S. pombe genome sequence?

Although old cosmid sequences used in the reference assembly are not available in PomBase directly, they are all stored in the International Nucleotide Sequence Database Collaboration database (ENA, GenBank, DDBJ) archives. For ease of searching, PomBase curators recommend finding the accession, e.g. AL137130, for a cosmid, and using GenBank to retrieve the sequence:

Go to http://www.ncbi.nlm.nih.gov/nucleotide/ (or choose “Nucleotide” in the search pull-down menu on any NCBI search page). Enter the accession. The resulting page will inform you that the sequence has been replaced by one of the whole-chromosome entries, but offers links to both the current chromosome entry and the obsolete contig entry.

Can I search for a gene list and retrieve results in the same order as in the input list?

At present this is not possible; all advanced search results are ordered alphabetically by gene name, or by systematic ID for unnamed genes, by default. Click the “Product” column header to sort alphabetically by product description. We plan to add an option to preserve input order soon.

In the meantime, we suggest that you download the results using the “Details” link, and import them into a spreadsheet. You can then combine the results with other data in the spreadsheet, and use the spreadsheet software to sort on any column.

Can I search for genes based on conservation in different taxa?

Yes, use the “Taxonomic conservation” query in the advanced search.

Example query:

Can I search PomBase for protein features?

A selection of protein sequence motifs and features have been manually curated using terms from the Sequence Ontology (SO). For example, Rad54 has a KEN box (a motif recognized by the anaphase-promoting complex; SO:0001807), and Cuf1 and Trz1 have nuclear localization signals (NLS; SO:0001528). These annotations are included in the Protein Features section of the gene page.

To search for these features, use the “Protein feature” query in the advanced search (enter a SO ID or description; see the documentation for help with searching).

Also see the FAQs on transmembrane domains and protein families, and the section of the search documentation on protein feature and protein domain queries.

Example query:

Can I share my search results?

Yes. In the advanced search, each results page has a stable, unique URL that you can bookmark, copy/paste, and share. Anyone who follows a shared link will see the same results page, and the query will be added to their query history.

The “Visualise” and “Slim” options also generate stable, unique, sharable URLs, and QuiLT visualisations have the stable URLs no matter how you reach the QuiLT page.

Can I use BLAST to find S. pombe sequences similar to my query sequence?

PomBase does not maintain a BLAST server, but the BLAST tools available at NCBI and Ensembl allow a target species genome to be selected.

Note, however, that we recommend alternate approaches for some search purposes, especially for proteins:

  • If you have a short peptide sequence, our peptide motif search finds matches in S. pombe proteins quickly.
  • If you are specifically looking for S. pombe orthologs of a protein-coding gene, simple BLAST results can be misleading. Instead, you can look up manually curated orthologs in PomBase for human and budding yeast, or use the methods described in the FAQ on finding orthologs in other species.

Also see other FAQs in the Orthology category and the Ortholog curation documentation.

Can I use BLAST to search for short sequences?

Yes, you can search for short nucleotide sequences, such as primers or other oligomers. We recommend NCBI BLAST, where you can search for short nucleotide sequences, such as primers or other oligomers (PomBase does not maintain its own BLAST server).

For short peptide sequences, we recommend the PomBase peptide motif search.

Can I use a wild card at the beginning of a search string?

The simple search finds search strings anywhere in IDs, gene names, and product descriptions. It does not require any wildcard character, and shows autocomplete suggestions as you type.

Can I view my data privately in the genome browser?

Yes, if you have locally stored data that you want to see in the context of the genome browser, you can add it as a custom track. In the Track menu, select “Open track file or URL”, and enter the location in the popup.

PomBase does not have its own alignment viewer. DIOPT, Compara, and PANTHER, three of the tools we recommend for finding orthologs, have alignment display options. See the FAQ on orthologs in other species for more information.

Can I view nucleotide sequence in the genome browser?

Yes. First, make sure the DNA sequence track is enabled (see the FAQ on showing tracks if necessary).

Then simply zoom in until sequence appears. The graphic will first display colored blocks representing color-coded nucleotides, and then legible sequence.

At any zoom level, use the arrows to scroll along the sequence.

See this FAQ to display a sequence region using coordinates. For more information on downloading sequence, see the PomBase JBrowse guide.

Can I view variation data in PomBase?

The PomBase genome browser includes variation data from natural S. pombe isolates, published in:

Jeffares DC et al. 2015. The genomic and phenotypic diversity of Schizosaccharomyces pombe. Nat Genet. 47(3):235-241. doi: 10.1038/ng.3215 PMID:25665008

To view the variation data, enable one or more of the tracks under “Variation” (see the FAQ on showing tracks if necessary). Insertions/deletions (indels) and SNPs can be enabled as separate tracks.

Clicking on any variation feature in either the track brings up a pop-up box with further details about the variation.

Can I visualise networks in PomBase?

This is an area of active development at PomBase. At present, PomBase links GO terms to the web-based network tool esyN 1: on the GO biological process slim page and on ontology term pages for GO biological process slim terms, each GO slim term links to the HCPIN physical interaction network in esyN. For example, the GO process slim page and the ontology term page for “regulation of mitotic cell cycle phase transition” (GO:1901990) link to http://www.esyn.org//builder.php?type=Graph&term=GO:1901990&interactionType=physical&source=pombase&includeInteractors=false.

We plan to provide gene-centred network displays on gene pages in the near future.

Using the esyN network display:

  • A brief simulation is used to position the nodes initially. This layout can often be improved by continuing the simulation: click “Layouts” in the left-hand panel, then click “Force-Directed (improve)”. Repeat until you like the network arrangement.
  • You can extend any network in esyN:
  1. Click on a node in the display.
  2. Click “Extend Network” in the right-hand bar.
  3. In the Advanced Tools box under the network display, first click “Get Interactions”.
  4. In the table that appears, click “Add” buttons to add individual interactions, or click “Add all”.

You can also use EsyN to:

Visualize interactions for a user-defined list of genes. To do this, visit http://www.esyn.org/builder.php?type=Graph, click on the “Network from list” option in the left-hand panel, and follow the instructions in the pop-up.

Build your own network – either an Interactome graph or a Petri net – from scratch (see the tutorial at http://www.esyn.org/tutorial.html). In both cases you can use the Advanced Tools to retrieve the interactions for a number of model organisms from several databases (see http://www.esyn.org/builder.php?type=Graph#interactions).

Save and share your networks. By logging in via the “My esyN” link (at the top of every esyN page), any user can save, share privately with collaborators, or publish any network.

Browse, view and modify, previously published, models (both graphs and Petri nets) at http://www.esyn.org/browse.php. We describe these networks are “public” in the sense of the open source movement, so that they are not only free to be copied, modified and (when possible) re-published, but we also actively encourage any collaborative effort to build and improve these biological networks.

1esyN reference: Bean DM, Heimbach J, Ficorella L, Micklem G, Oliver SG, Favrin G. 2014. esyN: network building, sharing and publishing. PLoS One. 2014 Sep 2; 9(9):e106035. doi: 10.1371/journal.pone.0106035. eCollection 2014. PMID:25181461

Do I need a password to download from the FTP site?

Note: Links from PomBase web pages use HTTPS for downloads, but if you have a link containing “ftp”, and your browser supports FTP, this information is relevant:

You do not need a password to download anything from the PomBase FTP site. In some web browsers, clicking a link to an FTP directory takes you to a page listing the contents, and clicking a file link produces a dialog box asking whether to open or save the file. Other browsers require a separate connection step:

  • If your browser asks “Do you want to allow this page to …?”, answer “yes” or “allow”.

  • If you’re prompted to “connect as guest or registered user”, select “guest”.

You should then be able to connect and download files (note: we have observed that this step can be sensitive to slow network connections).

If these steps don’t work, please let us know via the Helpdesk, and we will try to assist you.

Do you have polyadenylation data for fission yeast?

Fission yeast polyadenylation data are available in the genome browser. To display the data, enable one or more of the tracks with the data type “Poly(A) sites”.

Help with configuring browser tracks is available.

Help! Canto isn’t working for me. Do you have any suggestions?

We have received occasional reports of problems with access to Canto, apparently due to firewall issues, especially from users in China. If you have any trouble, we have some suggestions relayed from affected colleagues:

  • Some browsers work better than others. Users in China report better success with the “360” browser than with Microsoft IE or Edge (note that PomBase staff have not tested all of these browsers ourselves).
  • With any browser, connecting via a VPN may help.
  • When you follow the curation link in an invitation email, it may help to refresh the page or click on the “PMID:nnn summary” link in the upper left corner of the page before clicking the “Start curating” button.
  • A “hard refresh” may help on any Canto page (usually Shift plus the usual page-reload keystroke; consult your browser’s documentation or help).

If none of these solve your problems, or if you have any other suggestions, please contact the PomBase helpdesk.

How are the mating type specific gene pages organized?

As described in detail in this online tutorial (external link) provided by the Nielsen lab, S. pombe switch between the two mating types M and P.

Genetic information encoded by the mat1 locus determines the mating type: if this locus contains the Pc and Pi genes, the cell is mating type P, and if it contains the Mc and Mi genes the cell is mating type M. Additionally, S. pombe contains two silent loci: mat2 and mat3. These loci are not expressed but host the information needed for each mating type configuration. Mat2 contains the two genes Pc and Pi, and Mat3 contains the two genes Mc and Mi. Recombinational DNA repair during mitotic cell division ensures production of one daughter cell of parental mating type and one daughter of the opposite mating type.

A wild type S. pombe cell thus contains 6 mating type specific genes: 1. mat1-P/Mc - expressed 2. mat1-P/Mi - expressed 3. mat2-Pc - silent 4. mat2-Pi - silent 5. mat3-Mc - silent 6. mat3-Mi - silent

The sequenced S. pombe reference strain (972 h-) is in the M mating type configuration (encodes the Mc and Mi genes at the mat1 locus). The mat2 genes are deleted in this strain for technical reasons, whereas the mat3 genes are intact.

The DNA seqence of the WT silent mating type region containing the mat2 and mat3 genes was reconstructed yielding an extra mating type region contig (see ‘current genome’ link). Only the P genes from this contig have gene pages in PomBase.

The systematic IDs and contig source of the mating type specific genes are: 1. mat1-Mc - SPBC23G7.09 (from the chromosome 2 contig) 2. mat1-Mi - SPBC23G7.17c (from the chromosome 2 contig) 3. mat2-Pc - SPMTR.01 (from the mating type contig) 4. mat2-Pi - SPMTR.02 (from the mating type contig) 5. mat3-Mc - SPBC1711.02 (from the chromosome 2 contig) 6. mat3-Mi - SPBC1711.01c (from the chromosome 2 contig)

The duplicate M genes without gene pages are: 7. mat3-Mc - SPMTR.04 (extra copy from the mating type contig) 8. mat3-Mi - SPMTR.03 (extra copy from the mating type contig)

For the M specific genes, functional annotation (GO, phenotypes…) is attached to the mat1-Mc and mat1-Mi genes. For the P specific genes, functional annotation is attached to mat2-Pc and mat2-Pi out of necessity (the reference strain is in the M configuration).

How are non-coding RNA genes identified?

Most non-coding RNAs in PomBase are based on transcriptome data, either from Jürg Bähler’s lab (Solexa/deep sequencing; PMID:18488015) or Nick Rhind’s lab (RNA sequencing; PMID:21511999). For any ncRNA, the source should be linked as a publication in the “Literature” section at the bottom of the PomBase gene page. To get an idea of the transcription in a region, you can look at the Bähler Lab Transcriptome Viewer, which is linked from most gene pages, e.g. SPNCRNA.200. Unfortunately some genes, such as SPNCRNA.1115, post-date the viewer and therefore do not have entries, but you can look at transcription in this region by finding a neighboring gene.

How are PomBase systematic IDs determined?

Systematic IDs follow patterns based on the feature type, and in some cases the chromosome, as shown in the table below.

Open reading frame (ORF) IDs also indicate which cosmid or plasmid they were found on in genome sequencing. In most cases, ORF IDs that end with a digit indicate that the ORF is on the forward (Watson) strand, and an ORF with an ID that ends with ‘c’ is on the reverse (Crick) stand. There are a few exceptions, however, because some cosmids were moved and their orientation reversed late in the sequence assembly procedure.

IDs with ‘.1’ appended are transcript IDs; the dot-and-digit IDs follow Ensembl’s standard. If any given feature has alternative transcripts annotated, the digit will be incremented (.2, .3, etc.).

Systematic ID patterns

ID pattern Description
SPAC* features, usually ORFs, on chromosome 1, sequenced on cosmids
SPBC* features, usually ORFs, on chromosome 2, sequenced on cosmids
SPCC* features, usually ORFs, on chromosome 3, sequenced on cosmids
SPAP* features, usually ORFs, on chromosome 1, sequenced on plasmids
SPBP* features, usually ORFs, on chromosome 2, sequenced on plasmids
SBCP* features, usually ORFs, on chromosome 3, sequenced on plasmids
SPATRNA* tRNA genes on chromosome 1
SPBTRNA* tRNA genes on chromosome 2
SPCTRNA* tRNA genes on chromosome 3
SPLTRA* LTRs on chromosome 1
SPLTRB* LTRs on chromosome 2
SPLTRC* LTRs on chromosome 3
SPNCRNA* non-coding RNA genes (no chromosome info in ID)
SPRPTA.* repeats (other than LTRs or centromeric repeats) on chromosome 1
SPRPTB.* repeats (other than LTRs or centromeric repeats) on chromosome 2
SPRPTC.* repeats (other than LTRs or centromeric repeats) on chromosome 3
SPRPTCENA* centromeric repeats on chromosome 1
SPRPTCENB* centromeric repeats on chromosome 2
SPRPTCENC* centromeric repeats on chromosome 3
SPRRNA* rRNA genes (no chromosome info in ID)
SPSNORNA* snoRNA genes (no chromosome info in ID)
SPSNRNA* snRNA genes (no chromosome info in ID)
SPTF* transposons (no chromosome info in ID)
SPMTR* features on the separately sequenced mating type region contig
SPMIT* features on the mitochondrial chromosome
SPMITTRNA* subset of SPMIT*; tRNA genes on mitochondrial chromosome
SPNUMT* NUMTs (nuclear mitochondrial pseudogenes) (no chromosome info in ID)

How are sequence feature types defined in PomBase?

S. pombe genome features were originally annotated using Artemis. As noted in the manual (ftp://ftp.sanger.ac.uk/pub/resources/software/artemis/artemis.pdf - see p. 9), Artemis draws from a list of feature keys that is documented at EBI: (ftp://ftp.ebi.ac.uk/pub/databases/embl/doc/FT\_current.html\#7.2\)

In the genome sequence data files, features are defined using Sequence Ontology terms. Gene pages use a selection of human-friendly text descriptions for feature types.

How can I browse the phenotype ontology (FYPO)?

In the future, we plan to make Fission Yeast Phenotype Ontology (FYPO) terms and annotations available in a browser analogous to AmiGO or QuickGO. Until such a browser becomes available, FYPO is accessible in these external resources:

NCBO BioPortal - search on the BioPortal home page, go to the FYPO summary page, or go to the FYPO terms page. For assistance, see the “User Interface” part of the BioPortal Help.

EBI’s Ontology Lookup Service (OLS) - search on the OLS home page or go to the FYPO page. Help is provided on each page.

How can I display a sequence region using sequence coordinates in the genome browser?

Go to the genome browser, and enter coordinates in the location box. The format is ‘I:100000..200000’ (i.e. use Roman numerals to specify the chromosome, and don’t include the word “chromosome”; use ‘..’ between the start and end coordinates.)

You can also choose a chromosome from the pulldown, and enter just the numbers specifying position in the location box.

To see the DNA sequence, see this FAQ. For more information on downloading sequence, see the PomBase JBrowse guide.

How can I find all of the genes that have a given mutant phenotype?

You can search for genes annotated to a Fission Yeast Phenotype Ontology term in the advanced search. In the “Phenotype” query, if you know the ID (for example, “inviable cell” is FYPO:0000049, and “elongated cell” is FYPO:0000017) you can type or paste the ID into the box. Otherwise, start typing a term name or description; the autocomplete feature will suggest phenotypes. Choose one to retrieve annotated genes.

Note that the FYPO search retrieves annotations by following the is_a, part_of, output_of, has_output, and has_part relationships in the ontology. For example, FYPO includes the relation “inviable swollen elongated cell with enlarged nucleus” (FYPO:0002083) has_part “swollen cell” (FYPO:0000025). Genes annotated to FYPO:0002083 will therefore be retrieved in a search for FYPO:0000025. See the advanced search documentation for more information.

Example query:

Also see the FAQ on finding essential genes.

How can I find all S. pombe genes that are conserved in human?

Almost all genes that are conserved between fission yeast and human are also conserved in other vertebrates (there are two exceptions, both of which are genes encoding amino acid biosynthesis proteins that have become pseudogenes in human). To retreive these genes, go to the advanced search, click the “Taxonomic conservation” query option, and choose the description “Conserved in vertebrates”.

Also see the FAQs on finding disease gene orthologs, finding the ortholog of a specific gene, and on downloading the full set of curated orthologs.

Query link:

How can I find all S. pombe proteins in a particular protein family, or that have a particular domain?

There are various ways you can find protein family members or domains.

  1. If you know the Pfam, PRINTs, PROSITE, or InterPro accession for the family or domain you want, you can use the advanced search). Click “Protein domain” and then enter the accession.
  2. If you don’t have an accession, but do know any member of the family, go directly to its gene page. In the “Protein Features” section of the gene page there is a table of protein domains and families. The “Count” column links to a list of all family members in S. pombe.
  3. If you know neither accessions nor family members, you can search for keywords in the InterPro database, which combines signatures from a number of member databases, including Pfam. Record the accession number(s) of the family, and use them in the PomBase advanced search as described in item 1 above. (If necessary, you can use the query history to combine the results of several queries.)

Example query:

How can I find all sequence features in a region using chromosome coordinates?

You can do this in the genome browser (or follow a link from a gene page). First enter the coordinates.

Ensure that the PomBase forward and reverse strand feature tracks are visible (they are enabled by default). For each strand, click the small triangle at the right-hand end of the track label to reveal the popup menu. Select “Save track data”, then choose from the options in the popup.

You can also use the advanced search to retrieve genes in a region, but at present other sequence feature types are not included. Use the “Genome location” query. First, select a chromosome in the pulldown. You can then either add start and end coordinates to specify a region, or leave the “Restrict to region” boxes blank to retrieve all genes on the chromosome.

How can I find genes in a region using chromosome coordinates?

To retrieve genes in a region in the advanced search, use the “Genome location” query. First, select a chromosome in the pulldown. You can then either add start and end coordinates to specify a region, or leave the “Restrict to region” boxes blank to retrieve all genes on the chromosome.

You can also use the genome browser to find all features (not only genes), as described here.

Example query:

How can I find genes with a specific activity?

PomBase uses Gene Ontology (GO) molecular function terms to capture the activities – including enzymatic activities, binding, transporters, etc. – of gene products. You can therefore use the GO term query in the advanced search to retrieve genes whose products have a given activity.

In the “GO” query, if you know the ID (for example, “histone acetyltransferase activity” is GO:0004402, and “calcium ion transmembrane transporter activity” is GO:0015085), type or paste it into the box. Otherwise, and start typing a name or description; the autocomplete feature will suggest terms. Choose one to retrieve annotated genes. You can try using more specific or less specific terms to retrieve the results that best fit your expectations and needs. See the advanced search documentation and the Gene Page GO documentation for more information, including how [ontology searches retrieve annotations] to general terms.

Example query:

How can I find intron branch sites?

The PomBase genome browser includes a dataset of intron branch sites as a track. Follow this link to view the data.

The data were published in: Bitton DA et al. (2014), PMID:24709818; DOI:10.1101/gr.166819.113

How can I find modifications for my protein of interest?

Protein modifications (where curated) are included in the Modifications section on gene pages. (We plan to include RNA modifications later.) The gene page modifications documentation describes the display.

To retrieve all genes whose products have a given modification, use the “Protein modifications” query in the [Advanced Search]. If you know the ID (for example, “phosphorylated residue” is MOD:00696), type or paste it into the box. Otherwise, start typing a name or description; the autocomplete feature will suggest terms. Choose one to retrieve annotated genes. See the advanced search documentation for more information, including how ontology searches retrieve annotations to general terms.

Example query:

There is also an ontology term page for each modification term used to annotate S. pombe proteins, e.g. MOD:00696.

How can I find mutants with increased or decreased sensitivity to chemicals

In FYPO, terms for increased chemical sensitivity are grouped under increased sensitivity to chemical (FYPO:0002683). Similarly, decreased chemical sensitivity (increased resistance) terms are grouped under increased resistance to chemical (FYPO:0002682).

The ontology term pages for each term shows more specific terms, most of which identify specific chemicals (e.g. sensitive to hydroxyurea (FYPO:000088), and the genotypes annotated to them.

In any phenotype annotation display (on gene pages, ontology term pages, or publication pages), phenotype annotations can be filtered to show only “sensitive to chemical” annotations.

You can also use the advanced search Phenotype query to search for , or any of the more specific terms. (Links go to results lists of single-allele genotypes annotated to each term.)

How can I find orthologs between S. pombe and other Schizosaccharomyces species?

In the advanced search, you can use the “Proteins with S. japonicus orthologs” item under “Commonly used queries”

For any other Schizosaccharomyces species, we suggest:

On a gene-by-gene basis, you can use the Ensembl genome browser link to reach Fungal Compara as described in the FAQ on orthologs in other species.

For a full set of orthologous genes in S. pombe, S. cryophilus, S.japonicus and S. octosporus, see Table S12, columns AD-AG, in Rhind et al. Comparative functional genomics of the fission yeasts (PMID:21511999).

How can I find protein localization data?

Gene Ontology (GO) cellular component annotations capture the localizations of gene products to subcellular structures such as organelles or complexes. GO Cellular Component annotations are displayed on PomBase gene pages as described in the PomBase GO documentation. The GO Consortium’ ontology overview describes what the Cellular Component ontology includes. To search for proteins (or functional RNAs) with a particular localization, use the GO query in the advanced search to find genes annotated to the relevant GO Cellular Component term(s).

PomBase GO Cellular Component annotations include data from the whole-genome localization study (Matsuyama et al. 2006) as well as manually curated data from papers on small-scale experiments, and inferences from ortholog annotations. Macromolecular complex annotations are also available in a file (see FAQ).

Example query:

How can I find proteins that have transmembrane domains?

In the advanced search, use the “Number of TM domains” query. Enter the minimum and maximum number of domains (use the same number as minimum and maximum to retrieve proteins with, e.g. exactly 7 transmembrane domains).

Example query:

How can I find rRNA genes?

In the advanced search, click “Product type”, then select “rRNA” from the pulldown.

Also see the FAQ on rDNA sequences.

Query:

How can I find S. pombe genes associated with human disease?

S. pombe genes whose human orthologs have been implicated in disease are annotated with terms from the Monarch Disease Ontology. To retrieve all of these genes, you can use the most general “disease” term in a query. In the advanced search, select “Disease”, and copy or paste the ID “MONDO:0000001”.

Also see the FAQs on finding genes conserved in human, finding the ortholog of a specific gene, and on downloading the full set of curated orthologs.

Example queries:

How can I find S. pombe genes that complement or are complemented by a gene from another species?

If there is complementation data available for an S. pombe gene, it will be displayed in the Complementation section of the gene page. For example, ura3 can be complemented by S. cerevisiae URA1, and itself complements human DHODH.

How can I find S. pombe ortholog(s) of a human gene?

In PomBase, human orthologs are curated for S. pombe genes as described in the Orthologs documentation.

To find S. pombe orthologs for a human gene, you can search for the standard human gene name in the simple search box in the page header. For example, searching for human ABTB1 will retrieve the S. pombe gene btb3. To find standard human gene names, you can search HGNC. Note that in a few cases, a human gene name will coincidentally match a name or synonym of a non-orthologous S. pombe gene as well as the actual curated ortholog(s), so please check the gene pages carefully, especially if your search retrieves more than one result.

Also see the FAQs on on finding genes conserved in human, finding disease gene orthologs, and on downloading the full set of curated orthologs. You may also find the FAQ on orthologs in other species useful.

How can I find S. pombe orthologs for species other than human and S. cerevisiae?

For orthologs that are not manually curated by PomBase, we suggest a few approaches:

DIOPT

From any gene page, follow the link to DIOPT (in the Orthologs section and under External References).

The Drosophila RNAi Screening Center Integrative Ortholog Prediction Tool (DIOPT) is a web-based tool that integrates several orthology prediction tools to identify orthologous proteins for nine species (Caenorhabditis elegans, Danio rerio, Drosophila melanogaster, Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, Schizosaccharomyces pombe, and Xenopus tropicalis).

PANTHER

The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System classifies proteins (and their genes) according to family and subfamily, molecular function, biological process, and pathway.

From any gene page, follow the link to PANTHER (in the Orthologs section and under External References). The linked page includes a list of orthologs, and links to phylogenetic tree views that can also display alignments. Help is available.

Compara

You can search for orthologs/paralogs in Fungi, or in a pan-taxonomic comparison (eukaryotes), using Compara in the Ensembl browser.

  1. On any gene page, follow the link to the Ensembl genome browser under Orthologs or External References.

  2. Click the “Gene:” tab to show Compara links in the left-hand margin - for fungal alignments, choose “Fungal Compara”, or for all eukaryotic species choose “Pan-taxonomic Compara”.

  3. You should see a “collapsed” gene tree highlighting your fission yeast gene of interest. From here you can click on any node to see a menu of options:

    1. Expand or collapes specific sub-nodes of the tree, or expand the tree fully
    2. View the alignment in FASTA format
    3. Launch the jalview multiple alignment viewer to see the full alignment and colour by residue conservation, hydrophobicity, etc.
  4. To configure the protein entries visible in the alignment, select the most “inclusive” node you require. You can reduce the number of entries by collapsing individual sub-trees before you generate your alignment.

Information about how the Compara trees are generated, homology types, and species is available from the Ensembl comparative genomics documentation.

PSI-BLAST

To search for putative orthologs not fund in DIOPT or Compara, we recomment PSI-BLAST (Position-Specific Iterated BLAST) at NCBI or EBI. As described in the NCBI tutorial, PSI-BLAST derives a position-specific scoring matrix (PSSM) or profile from the multiple sequence alignment of sequences detected above a given score threshold using protein–protein BLAST.

How can I find significant shared FYPO annotations for genes in a list?

FYPO enrichment analysis is analogous to GO term enrichment, using phenotypes rather than GO annotations, i.e. analysing a gene list by finding FYPO terms that are significantly over- or under-represented among the annotations for the genes.

At present, PomBase does not have its own FYPO enrichment tool, and very few ontology enrichment tools can use phenotype data. One that does is AnGeLi, produced by Jürg Bähler’s lab.

How can I find significant shared GO annotations for genes in a list?

GO term enrichment identifies GO terms that are significantly overrepresented (or underrepresented) among a set of genes.

At present PomBase does not have its own GO enrichment tool. We recommend using the Generic GO Term Finder at Princeton, because it offers a simple interface and up-to-date ontology and annotation data, including the current PomBase GO annotation dataset (you can upload your own background set, GO annotation file, or both). The results are provided in an tabular format. You can also use the GO Term Finder to retrieve all annotations for your gene list by setting the p-value to 1.

Before you perform an enrichment analysis, we recommend that you do a GO slim analysis of your gene list, for a broad overview of the annotation set (for more information, see the Fission Yeast GO slim documentation page and FAQ). This will enable you to focus on. the most important terms in your enrichment.

You can slim your gene lists for any GO aspect (MF, BP or CC) using the PomBase “Advanced search”:

  1. Upload your list
  2. Click on the number of results in column 1 to access the complete list
  3. Use the “slim with” option in the menu to slim your gene set

A few other enrichment tools are described on the GO Consortium’s GO Enrichment Analysis page. If you choose one of these, we recommend that you only use an enrichment tool that allows you to upload a background set representing the genes used in your experiment. Even if you regard the whole genome as the relevant background, it is important to specify the background gene set explicitly to obtain meaningful results, especially if you have data only for protein-coding genes. For example, annotated tRNA genes can obscure enrichment of protein-coding genes annotated to translation.

For any GO analysis, we strongly recommend that you describe your approach fully in methods, and include the release details (number and/or date) for PomBase and the GO terms and annotations you use.

How can I find snoRNA genes?

In the advanced search, click “Product type”, then select “snoRNA” from the pulldown.

Note that there are likely a number of snoRNAs that have not yet been identified and annotated in S. pombe; we hope to investigate further in the future.

Query:

How can I find transcription factor binding sites in PomBase?

There is a data track available for transcription factor binding sites in the genome browser. To enable the track, follow the instructions for showing tracks, and filter on the data type “Promoters”, or use this link:

Transcription factor binding sites in JBrowse

Also see the FAQ on finding transcription factors.

How can I find transcription factors and their targets in PomBase?

All sequence-specific DNA-binding transcription factors should be annotated to at least two GO Molecular Function terms, either directly or by transitivity (i.e. annotated to a more specific “descendant” term linked to one of these terms):

  • GO:0000976 transcription regulatory region sequence-specific DNA binding (view in PomBase, QuickGO or AmiGO)
  • GO:0003700 sequence-specific DNA binding transcription factor activity (view in PomBase, QuickGO or AmiGO)

Annotation extensions are used to capture two types of “target” data (where available):

  • Annotations to GO:0000976 (or a descendant) may have extensions that capture DNA binding specificity using Sequence Ontology (SO) terms. A list of DNA binding sites identified in S. pombe is available on the DNA Binding Sites page.
  • Annotations to GO:0003700 (or a descendant) may have extensions identifying target genes.

Because it is not yet possible to query annotation extensions in the PomBase advanced search, to identify target genes you must either inspect transcription factor gene pages manually, or search the GO annotation dataset. For the latter:

  1. Download the GO annotation file (GAF) from the GO Annotations page. The file is tab-delimited text, so it can be opened in a spreadsheet application or parsed with a script; the format is described on the GO website.
  2. Look up the GO IDs for the specific terms to which genes are directly annotated – the “Child Terms” feature in QuickGO is good for this (for “transcription factor activity”, the most commonly used term is GO:0000978, RNA polymerase II core promoter proximal region sequence-specific DNA binding).
  3. Find annotations to the GO IDs of interest (GO ID is column 5; gene ID column 2), and then look at the annotation extensions (column 16).
  4. Contact the Helpdesk if you have any problems or questions.

Finally, note that not all S. pombe transcription factors have been extensively characterised with respect to target genes, and for those that have, target curation in PomBase may be incomplete. You may therefore wish to query for transcription factors that have been have been experimentally characterised, and therefore might have targets which are not yet curated. To do so, use the Advanced Search to find which of the genes annotated to the transcription factor-related GO terms above have the annotation status “published” (e.g. GO ID “GO:0000978” AND Annotation Status “published”; see the advanced search documentation for more tips on setting up the query).

Query links:

How can I find transposons in the genome?

In the advanced search, click “Characterisation status”, then select “transposon” from the pulldown.

At present, there are 11 full-length transposons annotated, and two frameshifted copies.

Query link:

Lone LTRs are also annotated as sequence features. They cannot yet be retrieved by the simple or advanced searches, but they are included in the forward and reverse strand sequence feature tracks in the genome browser.

Finally, if you wish to install Artemis (available from The Sanger Institute Artemis page; for S. pombe we recommend using Artemis Version 16), you can use it to view LTRs in more detail. Read in the EMBL format files of sequence and annotation (available from the Genome sequences page). To see LTRs,

  1. In the Select menu, choose “By Key”.
  2. In the pulldown that pops up, choose “LTR”.

See the Artemis FAQ and the Artemis manual (pdf; Sanger site) for additional information.

How can I get cosmids for my favorite gene?

Please enquire with the Sanger Institute archives@sanger.ac.uk about clones included in the final genome sequence.

How can I get my data into PomBase?

The best route depends on the amount and type of data you have.

  • If you have a published paper with “small-scale” data (a few genes, several different data types, etc.), you can curate it in Canto, PomBase’s online community curation tool. The Canto documentation describes the supported data types (Gene Ontology, phenotypes, interactions, modifications) and how to use the curation interface.
  • If you have data from large-scale experiments that is associated with sequence coordinates, it can be displayed as a track in PomBase JBrowse. See the data submission page for instructions.
  • If you have a large set of phenotype data (e.g. from a screen of the deletion collection), especially if there are many annotations to one or a few FYPO term(s), you can send them to the helpdesk in the phenotype annotation spreadsheet format.
  • Similarly, we can accept sets of GO, modification, or gene expression data as described on the dataset submission page.
  • For large sets of genetic or physical interaction data, we recommend that you prepare a spreadsheet using the template provided by BioGRID (see “Step 1. Send Us Your Interaction Data”). You are welcome to send the spreadsheet either to BioGRID or to PomBase (via the helpdesk); PomBase and BioGRID exchange data regularly so all interactions will appear in both databases.

You can do both Canto curation and large-scale data submission for a single publication, if it reports both large- and small-scale experimental results.

For any data types not listed above, or if you have any questions, please contact the PomBase helpdesk.

How can I identify all of the genes that affect a process?

The best way to find genes that have any effect on a process, we recommend searching for both GO and FYPO terms relevant to the process.

As described in the FAQ on GO and FYPO annotations, PomBase curators annotate all genes with phenotypes that affect a process, whereas GO annotations are restricted to genes whose products act directly in a process or its regulation. By querying for genes annotated to either a GO term or a FYPO term, you can find genes with relevant phenotypes (including “downstream effects”) as well as genes involved in a process (with or without mutant phenotypes affecting the process).

Use the union (OR operator) button in the PomBase advanced search, available in the query history, as described in the advanced search documentation. For example, to find genes that affect cellular respiration, search for “FYPO:0000078 (abnormal cellular respiration)”; search for “GO:0045333 (cellular respiration)”; and then combine them in a third query. For any process, you can try using more specific or less specific terms to retrieve the results that best fit your expectations and needs.

Example query:

How can I join pombeSlack?

The pombe Slack account is separate from PomBase and pombelist, and not run by PomBase staff. To join, email one of the pombe Slack admins (Gautam Dey, EMBL, Mary Elting, NCSU, Maitreyi Das, University of Tennessee).

How can I locate centromeres?

Centromeres can be retrieved in the PomBase genome browser; the coordinates are:

Chromosome I: 3753687-3789421 Chromosome II: 1602264-1644747 Chromosome III: 1070904-1137003

Sequence features within the centromeres, such as repeats, are annotated with Sequence Ontology terms. For more details, see the Centromeres page.

How can I locate the mating type region?

Browse for Chromosome II:2129208-2137121, and see the Mating type region page.

The mating type region will soon be annotated as a feature, and refer to a Sequence Ontology term.

How can I locate telomeres and subtelomeric regions?

The current S. pombe genome assembly does not include the complete telomeric regions or the telomeric short repeats. These omissions are beyond the control of PomBase curators. Subtelomeric repeats are also not explicitly defined at present, although we hope to provide this information in the future. Additional information about S. pombe telomeres is available at on the Telomeres page.

How can I obtain the list of human and S. pombe orthologs?

The current version of the manually curated list of orthologs and orthologous groups identified between fission yeast and human is available for download from the orthologs FTP directory (linked from the Datasets page).

Also see the FAQs on finding genes conserved in human, finding disease gene orthologs, and finding the ortholog of a specific gene.

How can I retrieve all S. pombe genes?

The Names and identifiers page provides lists of all genes, including non-coding RNA genes. The gene_IDs_names.tsv file contains the systematic IDs and names for both protein-coding and non-coding RNA genes, whereas two separate files are available that also include product descriptions.

The advanced search includes a query that retrieves all protein-coding genes at once, as decribed in this FAQ.

This query retrieves genes of all types (protein-coding, non-coding RNA, and pseudogenes) by combining the “product type” options with the OR operator:

How can I retrieve all S. pombe protein-coding genes?

The advanced search includes a query that retrieves all protein-coding genes at once. Click “Canned queries”, then click “All protein coding genes (ex. dubious and transposon)”.

Further explanation: All protein coding genes have the type “protein coding”, but this type also includes a few transposon genes and several genes that are dubious (i.e. predicted by automated methods considered unlikely to actually encode protein), which you will presumably want to exclude from the set. The canned query does this.

Query link:

How can I retrieve a gene sequence, including upstream and downstream sequences?

You can retrieve sequences from a gene page or in the genome browser, although flanking sequences are only available from gene pages at present.

On the gene page: Scroll down or click the left-hand menu link to the Sequence section of the page, where a DNA sequence is displayed by default. For protein-coding genes, the CDS is shown, and you can click boxes to add the sequences of any annotated introns or 5’ or 3’ UTRs. To include flanking sequences, enter a number of nucleotides in the “upstream” and/or “downstream” boxes. Only applicable options appear for non-coding RNA genes. The “Download sequence” button saves a FASTA file with your selection.

To use the Genome Browser: Click the “View in JBrowse” link under the map graphic on a gene page. In the browser, click on any feature to show a popup with details, including the sequence. Use controls in the popup to save FASTA sequence.

To retrieve flanking regions for more than one gene at a time, see this FAQ.

How can I retrieve intron coordinates or sequences?

Downloadable intron datasets are available in FASTA format from the Intron Data page.

You can also find genes with introns using the PomBase advanced search. To find all genes with introns, search for genes with a specified number of exons, and use the range 2 (i.e. at least one intron) to 20 (more than the maximum known, 16 introns). You can also restrict the search to protein-coding genes. Note that the PomBase count includes introns in UTRs.

Instructions for searching PomBase

  1. Go to the advanced search.
  2. Select the “Coding exons” query.
  3. Enter values: min 2, max 20. Click “Search”.
  4. Optional: to restrict to protein-coding genes, select the “Product type” query, then choose “protein”. Use the “Intersect” (AND operator”) button to combine the queries.

Click on a count in the query history to see the results, with a button for “Download” options including coordinates and sequence.

Also see the FAQ on finding sequence features in a region.

Query link:

How can I retrieve sequence coordinates for all features of a particular type?

Available options:

  1. Download one of the files available via the Genome Datasets page. The GFF3 files contain coordinates, and you can parse the files for the feature type you need. For example, to find all non-coding RNAs, search for “ncRNA_gene”; for coding sequences, use “CDS”, etc. There are also separate files available for CDS and UTR data.

  2. If you only need genes, you can use the advanced search to find all genes of a given type. (Note that non-gene features such as repeats cannot be retrieved by this method.) Select the “Product type” query, then choose a type from the pulldown menu. The “Download” options include coordinates and sequences in FASTA format. If you need more than one feature type, query for each type and then use Query Management to combine the individual queries with the “Union” (OR operator) button. See the advanced search documentation for more information. Click on a count in the query history to see the results, with a button for “Download” options including coordinates and sequence.

  3. The bioinformatically inclined can also use the Ensembl Genomes REST API to retrieve transcript feature coordinates, as described in the FAQ on pombe transcriptome sequences. Select the desired feature type(s) from the output file of stable IDs (bear in mind that Ensembl idiosyncratically uses “biotype” to mean feature type). Note, however, that EG is updated much less frequently than PomBase, so EG data will rarely be as up-to-date as the PomBase web site. Documentation is available:

Query:

How can I retrieve the sequence of a region using sequence coordinates?

Go to the genome browser, and make sure the DNA sequence track is enabled (see the FAQ on showing tracks if necessary). Enter region coordinates (as described in this FAQ).

In the “DNA sequence” track label, click on the small triangle at the right-hand end of the label box to reveal the popup menu, then select “Save track data”.

How can I retrieve sequences in a FASTA file with custom headers?

You can customize the headers for FASTA files of downloaded results from the advanced search (i.e. for any list of genes). The Download dialog offers several options for items to include in the headers. See the advanced search documentation for more information.

How can I retrieve sequences for non-protein-coding genes?

A file of all non-coding RNA gene sequences is available on the Genome sequences page.

If you need sequences for all genes of a single type (tRNAs, rRNAs, other ncRNAs, etc.) we recommend using the advanced search and results download as described in the FAQ on retrieving sequence coordinates for all features of a particular type.

How can I retrieve UTR sequences?

Transcript start and end coordinates from all sources will be available as individual data tracks in the genome browser in the near future, which will allow you to view, evaluate and download them. We also provide downloadable UTR data sets that are updated periodically, available on the Genome sequence and features page.

Also see the precedence criteria used to choose default UTR features to display on gene pages.

To retrieve UTRs for a specified list of genes, see the FAQ on downloading sequences for multiple genes (choose 5’ UTR and/or 3’ UTR in the popup).

How can I search for genes involved in both a GO process and regulation of the process?

The advanced search GO query retrieves gene products annotated to a GO term and to any of its child terms, following the is_a, part_of, and regulates relationships in the ontology (also see the PomBase GO documentation. GO search results for Biological Process terms therefore include genes involved in the process and its regulation.

Genes annotated directly to the process can be distinguished from those annotated to regulation on the ontology term page for the term.

How can I search or browse GO annotations?

You can search for GO terms by name or ID in the PomBase advanced search, and retrieve a list of all genes annotated to the term and its descendants via the relations is_a, part_of, regulates, positively_regulates, and negatively_regulates. For example, a search for “cytokinesis” will include genes annotated to “regulation of cytokinesis”. (See the GO documentation on Ontology Structure and Ontology Relations for more information.)

S. pombe GO annotations are also available in browsers that use the GO repository, notably AmiGO and QuickGO. Both browsers have extensive documentation available:

Hint: to find S. pombe annotations, use Organism: Schizosaccharomyces pombe, Taxon: 4896 (Schizosaccharomyces pombe) or Source: PomBase. You can download the results in GAF format.

In PomBase, GO term names and IDs on gene pages link to ontology term pages for GO terms, which in turn offer links to AmiGO, QuickGO and BioPortal.

How can I search for the S. cerevisiae ortholog(s)/homolog(s) of an S. pombe gene?

In PomBase, S. cerevisiae orthologs are curated for S. pombe genes as described in the Orthologs documentation.

To find S. pombe orthologs for a budding yeast gene, you can search for the systematic name (ORF name) or the SGD ID (e.g. SGD:S000001123) of the S. cerevisiae gene in the simple search box in the page header. For example, S. cerevisiae LRP1 has the systematic name YHR081W, and a search on this in PomBase will retrieve the S. pombe gene cti1. Note that only systematic names or SGD IDs can be searched for S. cerevisiae, to avoid confusion in cases where unrelated genes coincidentally have the same name in S. pombe and S. cerevisiae. To find systematic names of S. cerevisiae genes, you can search SGD.

Also see the FAQ on downloading the full set of orthologs.

How can I see nucleotide-level similarity between S. pombe and other Schizosaccharomyces species?

At present there are two ways to view nucleotide-level similarity between any pair of Schizosaccharomyces species S. pombe, S. japonicus, S. octosporus, S. cryophilus). Both use the genome browser at the Ensembl Fungi site.

  1. To view nucleotide similarity data tracks in the browser, go to your region of interest in the browser (e.g. follow the link from the External references section of a gene page). Click “Configure this page” button in the left-hand bar. A popup box will appear. Select the data type “Comparative Genomics” on the left of the popup, then choose one or more of the “LASTz net” tracks.
  2. Display syntenic regions as follows:
    1. Again, go to the region of interest. Make sure the “Location” tab is selected in the horizontal set of tabs along the top.
    2. In the left-hand menu, find the “Comparative Genomics” heading, and click on “Region Comparison”.
    3. To select a species for comparison, go to the bottom of the left-hand menu, and click the “Select species or regions” link (it may appear to be subtly blinking; we apologise for this anomaly).
    4. In the popup, click the “+” beside any species in the “Unselected species or regions” list to move it to the “Selected species or regions” list. Note: “lastz” is the nucleotide alignment algorithm used. Close the popup - click the tick/check mark in the upper right corner, or click outside the popup.
    5. Synteny views will now be visible in the bottom-most graphical display (scroll down if necessary). For any region in the S. pombe genome, pink tracks show the region in the second genome with the best nucleotide alignment. Green bands connect the best-aligned regions to highlight synteny.

How can I show or hide tracks in the genome browser?

In JBrowse, click the “Select tracks” box in the upper left corner to display the list of available tracks. The list can be filtered using the items in the left-hand column, or searched. Tick boxes to enable tracks, then click the “Back to browser” button.

How can I submit high-throughput data to PomBase?

PomBase welcomes large sets of published data. The recommended submission route depends on the data type:

  • For any data that can be associated with genome sequence coordinates (e.g. gene expression, ChIP-seq protein localisation, variation, etc.), we can add data tracks to JBrowse. Please see the HTP data submission page for instructions and submission templates.
  • Several types of data associated with genes can be displayed on gene pages. PomBase has developed bulk upload formats for phenotype, modification, and gene expression data – see the Annotation data submission page and the FAQ on file formats for links to the file format descriptions and data submission forms.

If you have any other type of large-scale data – or if you have problems or questions regarding the available submission forms – please contact the helpdesk.

How can I use GO slims with S. pombe?

The Fission Yeast GO slim pages provide generic GO slims for S. pombe, and show total genes annotated to each term directly or to any of its descendants.

If you want GO slim annotations for your own list of S. pombe genes, use the advanced search “Gene names and IDs” option, and then use the “Slim” button on the search results page. See the advanced search documentation for more information.

If you want to use a different slim, we recommend using the GO Term Mapper at Princeton. Upload your list of genes, and select “Schizosaccharomyces pombe (PomBase)” in the Organism pulldown. For the slim, select one of the radio buttons, or scroll down to Advanced Options to choose GO terms to make up a custom slim. GO Term Mapper’s interface and documentation should make the rest straightforward, but let PomBase staff know if you have any problems.

For further information on using the generic S. pombe slims, or on creating your own GO slim, please see the Fission Yeast GO slimming tips page.

How do I change the track scale in JBrowse?

Click the downarrow to the right of the track label and click on ‘edit config’. Define a max_score and/or a min score by typing e.g.

“max_score”: “200”,

within the curly brackets.

More wiggle track configuration option in the official JBrowse documentation

How do I cite data from PomBase? How do I cite the genome sequence, comparison data, etc.?

See the Citing PomBase page, which lists papers to cite for PomBase, the S. pombe genome sequence, Canto, FYPO, annotations and Compara. Additional key papers may be added as needed.

How do I download a table of all modifications?

Specific modified residues is not a download option from the query builder. If you want build a table of all residues with a specific modification, download the table in the modifications data directory, and filter for your modification of interest. The column descriptions are in the README.

This dataset includes all high throughput and low throughput curated data. Note that some older datasets have no residue information.

See also: How can I find modifications for my protein of interest?

How do I join pombelist? Can you unsubscribe me from pombelist?

To join or leave pombelist, go to the list management page:

https://lists.cam.ac.uk/sympa/info/ucam-pombelist

To join, click “Subscribe” in the left-hand menu, and follow the instructions on the page.

An “Unsubscribe” link is also available in the left-hand menu.

If you want to change the email address you use for pombelist, go to the upper right corner to log in, and then (still in the upper right corner), hover over your name to reveal a menu. Select “My preferences” to see options including a field for a new email address.

How do I receive updates to the list of S. cerevisiae and S. pombe orthologs?

The current version of the manually curated list of orthologs and orthologous groups identified between fission and budding yeast is available for download from the orthologs FTP directory (linked from the Datasets page).

How does PomBase determine a gene’s full-length transcript? / UTR coordinates? / transcription start and end sites?

5’UTRs were created using Transcription Start Sites (TSS) data (in vegetative growth / minimal media) from the Deep CAGE data provided by Thodberg et al.. Transcription start sites are heterogeneous, we selected the major peak, and in cases of multiple potential start sites, the major cluster from the major TSS peak to create canonical 5’UTR features. Therefore, with the exception of a small number of curated isoforms only genes expressed during vegetative growth will currently have 5’UTRs. To inspect meiotic 5’UTRs please refer to the extensive RNA-seq or TSS datasets hosted in the genome browser.

3’ UTR features use four data sources and a set of precedence criteria:

  1. Highest priority is given to data from low-throughput “conventional” experiments performed on individual mRNAs and reported in publications or submitted to EMBL. Where low-throughput data are not available, one of three high-throughput datasets is used.
  2. The Broad data published in 2011 by Rhind et al. (PMID:21511999) is given precedence because it is the most recent, is higher resolution and detected splicing within the UTRs. Note: This study used a “greedy” algorithm to determine the longest possible transcript from transcriptome reads, which may result in the prediction of longer UTRs than are actually present. Use these data with caution, and refer to the transcript profiling data in the genome browser for genes of interest.
  3. For genes not covered by (1) or (2), start/end data from Lantermann et al. (PMID:20118936) based on transcriptome data from Dutrow et al. (PMID:18641648) are used where available.
  4. For genes not covered by (1), (2) or (3), we use data from Wilhelm et al. (PMID:18488015).

More information is available in the descriptions of two HTP datasets originally sent to pombelist: - Broad email - Lanterman/Dutrow email

Transcript start and end coordinates from all sources will be available as individual data tracks in the genome browser in the near future, which will allow you to view and evaluate them. PomBase will also curate splice and transcript variants as data become available.

Note: exon and CDS coordinates are available in the Transcript section on PomBase gene pages.

How many conserved unstudied proteins are there? How is the list generated?

As genes are annotated, each is assigned a status, as described on the Gene characterisation status page. Taxonomic conservation of a gene is assigned manually on a case-by-case basis, taking into account multiple criteria. Additional information is available from PomBase curators upon request.

Genes listed on the Priority unstudied genes page are those that have “conserved unknown” characterisation status and the “conserved in vertebrates” taxonomic distribution.

You can also use the advanced search to find conserved unstudied genes as described in the FAQs on characterisation status and taxonomic conservation. Start by searching for Characterisation status “conserved unknown”, and refine the search by adding a Taxonomic conservation query if you wish.

I found a discrepancy between a GenBank (EMBL/ENA or DDBJ) entry and a sequence in PomBase. What should I do?

We recommend using only the genome sequence, either from PomBase downloadable files or from the sequence retrieval tools on the gene pages and in the genome browser. Although there are some sequence updates still pending, the genome sequence is more accurate than individual gene sequences that predate the genome.

Many older S. pombe sequence submissions to the DNA databases (International Nucleotide Sequence Database Collaboration databases, i.e. ENA, GenBank, DDBJ) contain one or more errors (sometimes with an error rate as high as 20%), and we do not have the resources to maintain past sequences or flag every error in PomBase.

Is the S. pombe transcriptome available in FASTA format?

There is no single transcriptome sequence file available from PomBase at present. Several transcriptomic data sets are available as tracks in the PomBase genome browser. The GFF3 genome feature files available from the Genome Datasets page include the coordinates of the annotated full-length transcript features.

The bioinformatically inclined can also use the Ensembl Genomes REST API to retrieve transcript feature coordinates. (Note that, while the sequence has not changed recently, annotation data are likely to be out of date relative to the PomBase web site Ensembl Genomes is updated much less frequently than PomBase.) The FAQ on programmatic access to PomBase provides an introduction to using the API, some pombe-specific examples, and links to additional documentation.

The Broad Institute has archived genomic data files for the Schizosaccharomyces species, including transcript files.

Is there any programmatic access to PomBase data?

The Ensembl Genomes REST API Endpoints page provides a REST-ful interface allows language-independent programmatic access to all genomes accessible through Ensembl Genomes, including the same Schizosaccharomyces pombe genome sequence data available in PomBase. (Note that, while the sequence has not changed recently, annotation data are likely to be out of date relative to the PomBase web site Ensembl Genomes is updated much less frequently than PomBase.) The REST interface provides data in a variety of formats including GFF3, FASTA and JSON. Data types accessible via this interface include:

  • genomic features, including genes and CDSs
  • genomic and protein sequences
  • cross-references including ontologies
  • gene trees and orthologues

In addition, the interface also provides access to the Variant Effect Predictor tool and a tool for mapping genomic coordinates between different versions of genome assemblies.

The user guide provides comprehensive descriptions of interface functionality, plus examples using a variety of languages and interfaces. The following URLs are examples specific to S. pombe:

Are there any rDNA repeat sequences in PomBase?

The reference genome sequence excludes most of the ribosomal DNA (rDNA) repeats, which are present in two tandem arrays on chromosome III. These arrays are estimated to be 1225 kb and 240 kb in size for the sequenced strain (972 h-). The reference sequence includes two partial and one complete representative rDNA repeats:

The complete repeat sequence coordinates are Chromosome 3:5542-13722 (note that the reverse strand is transcribed). The link goes to the PomBase genome browser, where you can view and download the sequence. Because the reverse strand is transcribed, you may want to choose “-1” in the location settings.

Also see the FAQ on finding rRNA genes.

Is there an equivalent to the Artemis java applet in PomBase?

Unfortunately, the Java Applet technology has been depricated and is not supported by the major browsers.

We now use JBrowse and links to the Ensembl genome browser in place of the Artemis applet.

If you want to browse the S. pombe genome in Artemis on your laptop or desktop, it is free to download and run locally:

Once you have loaded the file(s), you can do many different things, e.g.:

  • Find features by name or ID
  • Find all features of a given type (e.g. see the “can I find transposons” FAQ)
  • Find matches to a specific nucleotide sequence (e.g. see the “restriction enzyme map” FAQ)
  • View the nucleotide or amino acid sequence of a region or feature
  • Export selected sequences

Is there a list of drug targets in S. pombe?

The “Drugs with knowns S. pombe targets” page lists drugs that have been shown to affect S. pombe, with brief summaries of their targets.

If you notice any errors or omissions on this page, or can provide any supporting references, please email the helpdesk.

Is there a list of protein complexes in S. pombe, and their subunits?

Yes, there is a file that lists GO macromolecular complex assignments for fission yeast gene products in the GO annotations directory:

https://www.pombase.org/data/annotations/Gene_ontology/GO_complexes/

Note that the complex inventory includes the RNA subunits of ribonucleoprotein complexes. There is some redundancy in the list, because some gene products are annotated to both complexes and subcomplexes. For example, three mcm genes are annotated to ‘MCM core complex’ (GO:0097373) as well as ‘MCM complex’ (GO:0042555). Additional notes are available in a README file: https://www.pombase.org/data/annotations/Gene_ontology/GO_complexes/README

Also see the FAQ on localization.

What is an annotation extension?

Annotation extensions can be used with annotations to terms from various ontologies, such as GO, FYPO, modifications, etc. Extensions provide additional specificity to the annotation by linking the term to another ontology term or a gene product via a relationship.

Extensions are most commonly used with GO annotations, where they can be used to capture details such as substrates of molecular functions or cell cycle phases during which a localization is observed. More information is available in the gene page GO annotation documentation.

The GO Consortium provides further information on annotation extensions in its file format guide, on a wiki page, and in publications from 2014 and 2017. PomBase converts many extension names to more human-friendly text, as described here.

Phenotype annotations using FYPO may have extensions that capture severity or penetrance, or identify a gene or gene product used in an assay, as described in the gene page phenotype documentation.

What is BAM format?

BAM is a binary file format used for nucleotide sequence alignment data.

The file format specification (PDF) is available from the SAMtools web site.

The UCSC Genome Bioinformatics FAQ and the Broad Institute file format guide provide additional information.

What is BED format?

BED is a tab-delimited text format that defines a feature track for a genome browser.

BED format is described in the UCSC Genome Bioinformatics FAQ, and the Broad Institute file format guide provides additional information.

What is bedGraph format?

BedGraph is a file format that allows display of continuous-valued data in a track in genome browsers that support the format.

At present, JBrowse does not support bedGraph, so we cannot use data in this format for PomBase. If you have data in bedGraph format, we recommend converting to WIG or bigWig format.

BedGraph format is described at the UCSC Genome Bioinformatics web site, and the Broad Institute file format guide provides additional information.

What is bigBed format?

BigBed is a binary file format that is created by conversion from BED, and thus stores similar types of data for display in a genome browser track.

BigBed format is described at the UCSC Genome Bioinformatics web site, and the Broad Institute file format guide provides additional information.

What is bigWig format?

BigWig is a file format for display of dense, continuous data in a genome browser track, created by conversion from Wiggle (WIG) format.

BigWig format is described at the UCSC Genome Bioinformatics web site, and the Broad Institute file format guide provides additional information.

What does the “characterisation status” mean for a gene?

Each gene is assigned exactly one characterisation status that reflects how much is known about the gene, whether it is conserved, etc. Specific status descriptions:

  • Published: Completely or partially characterised in a small scale experiment, with some published information about the biological role (corresponding to any of the fission yeast GO biological process slim biological process terms)
  • Biological role inferred: A biological role (as above, a fission yeast GO biological process slim term) is inferred from homology to an experimentally characterised gene product
  • Conserved unknown: Conserved outside the Schizosaccharomyces, but nothing known about the biological role in any organism
  • Schizosaccharomyces specific protein, uncharacterised: Unpublished and found only in fission yeast (S. pombe, S. octosporus, S. japonicus, S. cryophilus); nothing known about biological role. May be single copy or a member of a multi-member family.
  • S. pombe specific protein, uncharacterised: Unpublished and found only in S. pombe (not detected in other Schizosaccharomyces species); nothing known about biological role
  • Transposon: Known or predicted transposable element
  • Dubious: Unlikely to be protein coding

A current summary of gene characterisation status for the S. pombe genome is available, as well as a table of historical characterisation status counts.

You can also retrieve current lists of genes with each characterisation status using the advanced search. Select the Characterisation status query, then choose a status from the pulldown menu, and submit.

What file formats can I use to submit high-throughput data?

At present, PomBase can host any types of data that can be connected with sequence features or coordinates, and can display the data as tracks in the genome browser. We accept data in any of several formats. To choose a file format for your data, consult the table below and the linked FAQs.

Also please see the HTP data submission page for instructions and submission templates, and consult the helpdesk to submit a file or if you need further assistance.

File format Recommended for
BAM sequence alignments, especially from high-throughput experiments such as RNAseq
BED sequence features with coordinates
bigBed sequence features with coordinates
bigWig values attached to genome locations/regions
GFF3 sequence features with coordinates
VCF structural variations, such as SNPs, insertions, deletions, or copy number variants
WIG values attached to genome locations/regions

We can also accept batch submissions of certain types of data that appear on PomBase gene pages. For these data types, we use dedicated PomBase-specific formats as shown in the table:

Data type File format description
Phenotypes phenotype file format
Modifications modification file format
Qualitative gene expression qualitative gene expression file format
Quantitative gene expression quantitative gene expression file format

We may be able to accept data in other text formats. Please enquire via the PomBase helpdesk if you have any questions about your data format.

What is GFF3?

Generic Feature Format Version 3 (GFF3) is a tab-delimited text file format used to represent genomic sequence features.

PomBase produces GFF3 files of S. pombe sequence features, and accepts high-throughput data submissions in this format.

The file format specification is available from the Sequence Ontology GitHub site. Validation tools are available from various online providers.

What is GO term enrichment? How can I do it for my genes?

“GO term enrichment” refers to analysing a gene list by finding GO terms that are significantly over- or under-represented among the annotations for the genes. Finding GO terms that are shared by genes in your list can help you find out what they have in common biologically.

PomBase does not have its own GO enrichment tool, but we recommend one, and provide a bit more information, in the FAQ on GO term enrichment.

What is PSL format?

PSL is a tab-delimited text format that represents sequence alignments.

PSL format is described in the UCSC Genome Bioinformatics FAQ, and the Broad Institute file format guide provides additional information.

What is VCF?

Variant Call Format (VCF) is a text file format used to describe structural variations, such as SNPs, insertions, deletions, or copy number variants.

The file format specification is available from GitHub (see entries with “VCF” in the name).

The 1000 Genomes site, UCSC Genome Bioinformatics FAQ and the Broad Institute file format guide provide additional information.

What is WIG format?

Wiggle (WIG) is a file format for display of continuous-value data in a genome browser track.

BigWig format is described at the UCSC Genome Bioinformatics web site, and the Broad Institute file format guide provides additional information.

When was the genomic sequence last updated?

The reference sequence was last updated in January 2007; only feature coordinates and annotation have changed since then. See Sequence updates and Pending sequence updates for more information.

Where can I download the genome sequence?

Genome sequence files can be downloaded from the Genome sequence and features page in several different formats.

Where can I find basic statistics on the S. pombe genome, such as genome size, total number of genes, mean intergenic distance, etc.?

A page of statistics is available, but note that it was last updated in January 2017.

Where can I find information about PomBase data versions?

PomBase annotations are updated each time the daily upload to the preview site (behind the scenes) succeeds, with snapshots archived on a monthly basis. To refer to PomBase in your publications, we recommend citing the date on which you view or download data. If you download an archived snapshot, cite its date.

Prior to the September 2017 PomBase upgrade, periodic data releases were flagged with version numbers and release dates. Each legacy version number has two parts, of which the first is the Ensembl Genomes (EG) version and the second is the version of curated PomBase annotations (sequence features, ontology annotations, etc.). For example, PomBase version 20_39 used EG version 20 and PomBase annotation data version 39. The Data version history page shows additional information about the versions of various data and software portions of the legacy PomBase releases.

Why are GO annotations different between PomBase and UniProt/GOA?

The GO annotations available from PomBase (gene pages, advanced search, etc.) and the GO Consortium site (AmiGO; GO downloads) differ from those available from the UniProt GOA site (including QuickGO) for three main reasons:

  1. RNA - PomBase provides GO annotations for functional RNAs (e.g. rRNA, tRNA, snRNA), but at present the UniProt GOA dataset only includes annotations for protein-coding genes.
  2. Time lag - S. pombe GO data are updated at the same time on the PomBase and GO Consortium sites, but the UniProt GOA site may be up to a few weeks behind.
  3. Filtering - PomBase does not include automated annotations that are redundant with manual annotations (contact the helpdesk for further details). The GO Consortium site uses the same filtered annotation dataset as PomBase, whereas the UniProt GOA site includes the automated annotations.

Why are GO terms missing from the downloadable annotation file?

The downloadable file of PomBase GO annotations is in the GO Consortium’s GAF format, and only includes “direct” annotations, i.e. the actual term-gene product connections made by manual curation or computational transfer. When an annotation is made to a term, the gene product is automatically inferred to be annotated to all the “ancestor” terms in the ontology. These inferred annotations are used in PomBase web pages and searches, but are not included in the GAF file. More information on ontology structure and annotation inference is available in documentation at PomBase and GO (ontology and annotation).

When you use GO annotations in any analysis, we strongly recommend using tools that take ontology structure and transitive inference of annotations into account.

GO annotations downloadable for search results are also in GAF format, so the same considerations apply.

Why are pombelist messages delayed? Why don’t I get pombelist emails promptly?

One way this can happen is if you have “digest” mode enabled – this setting groups messages together and only sends them when a certain number have accumulated or a certain amount of time has elapsed. Typically members using digest mode receive messages about once a day.

To disable digest mode, or just check whether you have it on, go to the list management page:

https://lists.cam.ac.uk/sympa/info/ucam-pombelist

Log in (upper right corner), then go to “Subscriber Options” in the left-hand menu. In the “Receiving mode” pulldown. Choose “standard (direct reception)”. Click the “Apply modifications” button (below the next pulldown), and you can then log out.

Why are some genes with an abnormal phenotype annotated to the corresponding GO process while others are not?

PomBase curators use GO Biological Process annotations to indicate that a gene product is directly involved in a process or its regulation. FYPO annotations indicate when a mutation in a gene causes a change in a process, but do not say whether the effect is direct or indirect.

Many mutant phenotypes reflect downstream effects of compromising an upstream process. In these cases, we annotate the phenotypes using FYPO terms, but do not annotate to the GO corresponding biological process term. We use “regulation of biological process” GO terms in cases where there is evidence for a gene playing a regulatory role in wild-type cells, but not where defects in an upstream process affect a downstream process (even though the latter is sometimes described as “regulating” or “modulating” the downstream process).

For example, a defect in cellular respiration may arise from mutations in genes directly involved in respiration, but also as a downstream effect of mutations in genes involved in mitochondrial translation, respiratory chain complex assembly, or ubiquinone biosynthesis. Similarly, DNA replication defects often also lead to defects in chromosome segregation; for the genes involved we annotate both replication and segregation phenotypes, but only replication in GO biological process.

The cell cycle offers an even more dramatic example of why we restrict usage of GO annotations. Over 750 genes can be mutated to give an elongated vegetative cell phenotype, which is traditionally interpreted as indicating that cell cycle progression is blocked in interphase. Most of these genes, however, are involved in transcription, translation, transport or splicing, and cell cycle delays seen in mutants are due to activation of cell cycle checkpoints by the abnormal processes. To annotate all 750 genes to “regulation of mitotic cell cycle” would obscure the genes that actually are part of the cell cycle regulatory network, greatly reducing the usefulness and precision of GO annotations.

Also see the FAQ on finding genes that affect a process.

Why are some genes annotated to both viable and inviable phenotypes?

One gene can be correctly annotated to both a “viable” term and an “inviable” term from FYPO, under certain circumstances:

  • Different alleles may have different phenotypes; e.g., a deletion may be inviable, but a point mutation may be fully viable or conditionally lethal.
  • One allele may cause death under some, but not all, conditions.
  • An allele may cause only some cells in a population to die (this would be annotated using an “inviable cell” term, with an extension to indicate incomplete penetrance (“low” or “medium”), plus an annotation to a “viable cell population” term).
  • Cells that can divide for a few generations but then die are annotated as inviable, but can acquire suppressor mutations at a high enough frequency for populations to appear viable.

At present, alleles cannot be queried directly in the PomBase advanced search, but the FYPO phenotype filters do allow you to retrieve annotations for all alleles, or to restrict to null expression (deletions etc.) or overexpression of the wild-type allele. Comparing results with and without the allele restrictions may help resolve apparent discrepancies.

Note that it not yet possible to search for specific conditions, or for penetrance, but we plan to add these features to the Advanced Search.

If, however, the allele and condition details are identical, annotation to both viable and inviable terms is probably an error (either one of the terms is wrong, or there are missing or incorrect details for the alleles and/or conditions). Please let us know via the helpdesk if you notice any potential errors.

Why do gene pages only show curated orthologs for human and S. cerevisiae?

In PomBase, human and S. cerevisiae orthologs are manually curated for S. pombe genes as described in the Orthologs documentation. Because manual ortholog curation is extremely time-consuming, it is not done for any species other than human and S. cerevisiae. For automated ortholog prediction of orthologs in other species please see the relevant FAQ.

In the future we will add a tree view of consensus orthologs in key species to the gene pages.

Global transcriptional responses of fission yeast to environmental stress

Chen D, Toone WM, Mata J, Lyne R, Burns G, Kivinen K, Brazma A, Jones N, Bähler J. Mol Biol Cell. 2003 Jan;14(1):214-29. PMID:12529438

Schizosaccharomyces pombe Essential Genes: A pilot Study

Decottignies A, Sanchez-Perez I, Nurse P Genome Res. 2003 Mar;13(3):399-406. PMID:12618370

The ‘new’ fission yeast book is now published

Egel, R., Copenhagen, Denmark (Ed.) The Molecular Biology of Schizosaccharomyces pombe Genetics, Genomics and Beyond ISBN:3-540-00693-1

Recent Genome wide surveys

Correlations Between Gene Expression and Gene Conservation in Fission Yeast. Mata J, Bahler J. Genome Res. 2003 Nov 12 PMID:14613978

FELINES: a utility for extracting and examining EST-defined introns and exons. Drabenstot SD et al Nucleic Acids Res. 2003 Nov 15;31(22):e141. PMID:14602934

Genome-wide distribution of DNA replication origins at A+T-rich islands in Schizosaccharomyces pombe. Segurado M, De Luis A, Antequera F. EMBO Rep. 2003 Nov;4(11):1048-53. Epub 2003 Oct 17. PMID:14566325

Retrotransposons and their recognition of pol II promoters: a comprehensive survey… Bowen NJ et al Genome Res. 2003 Sep;13(9):1984-97. PMID:12952871

Methods Volume 33 Issue 3

This issue of Methods includes 11 papers for fission yeast protocols including DNA damage checkpoint assays, cell wall analysis, TAP, nuclear envelope integrity assays, GFP imaging, TS mutant creation and plasmid use and construction. See the Methods site for details of the papers including PMIDs.

2021-08-18: Updated to remove out-of-date link.

The Third International Fission Yeast Meeting

The meeting was held at UC San Diego on August 24-29, 2004.

General Repository for Interaction Datasets

A project to record published genetic and physical interactions is underway with Mike Tyers and the GRID group at Toronto.

Second East Coast Regional pombe Meeting

Second East Coast Regional pombe Meeting

This meeting took place from November 11-13, 2005 in Miami Beach, Florida.

Comparative Genomics of Eukaryotic Microorganisms

Comparative Genomics of Eukaryotic Microorganisms:
Eukaryotic Genome Evolution, Approaches with Yeasts and Fungi


This conference took place from 12th-17th November 2005 in Sant Feliu de Guixols, Spain. Full details can be found here.

European Fission Yeast Meeting

The European Fission Yeast Meeting (16th-18th March 2006) and The Fission Yeast Bioinformatics workshop (15th - 16th Mar 2006) both took place at the Wellcome Trust Genome Campus in Hinxton (Cambridge, UK).

Fission yeast database survey

The fission yeast database survey is now closed. You can view the survey results here.

The first fission yeast whole proteome localization study is now published

The first fission yeast whole proteome localization study is now published: Matsuyama A. et al (2006): ORFeome cloning and global analysis of protein localization in the fission yeast Schizosaccharomyces pombe. Nat Biotech 24, 841-7.
 

Yeast Special Issue from the 2006 European Fission Yeast Meeting

The October issue of the journal Yeast is a fission yeast special issue containing 13 articles and reviews commissioned as a result of the European Fission Yeast Meeting, which are FREE to download.

GeneDB representation of the fission yeast data moved from contigs to chromosomes

GeneDB representation of the fission yeast data moved from contigs to chromosomes. See the pombelist archive for details.

4th International Fission Yeast Meeting

4th International Fission Yeast Meeting held in Copenhagen.

Wellcome Trust Advanced Course ’Genome-wide approaches with fission yeast

Wellcome Trust Advanced Course ‘Genome-wide approaches with fission yeast’ held in Hinxton.

Baumann and Zakian labs identify telomerase RNA

Baumann and Zakian labs identify elusive telomerase RNA (PMID:18157152 and PMID:18157149)

The h- mating type region has been provided

The h- mating type region has been provided by Xavier Marsellach and Lorena Aguilar.

Global sequence and chip study examines eukaryotic transcription

Dynamic repertoire of the fission yeast transcriptome reveals: 94% of the genome is transcribed; extensive variation in different stages and conditions; global and condition-specific coupling between splicing efficiency and transcription; confirms the majority of introns; refines ~75 gene structures; identifies 453 new transcripts 26 of which were predicted to code for proteins.

S. pombe GeneDB now includes “deep links” to the Biological General Repository for Interaction Datasets (BioGRID) interaction datasets from the ‘Database Cross References’ section of the individual Gene Pages.

GeneDB is now using Version 23 of the Pfam protein family database.

GeneDB is now using Version 23 of the Pfam protein family database. A total of 4154 (83%) S. pombe proteins now have at least one Pfam domain or family assignment (compared to 76% for S. cerevisiae), the highest percentage coverage for any eukaryote.

Fission yeast in Ensembl Fungi

The fission yeast genome and annotation dataset is now available as part of Ensembl Fungi.

GeneDB (S. pombe) now uses the latest update to Pfam, release 24.0

GeneDB (S. pombe) now uses the latest update to Pfam, release 24.0 and 88.5% of fission yeast proteins now contain a match to at least one Pfam domain (increased from 83% in version 23).

Fission yeast is one of the 12 key organisms of the reference genomes project

Fission yeast is one of the 12 key organisms of the reference genomes project. The goal of this project is to completely annotate twelve reference genomes so that those annotations may be used to effectively seed the automatic annotation efforts of other genome.

Funding for PomBase

Funding was awarded by the Wellcome Trust for a fission yeast Model Organism Database, PomBase.

Analysis of Fission Yeast Deletion Publication

The analysis of the fission yeast deletion collection is now published online in Nature Biotechnology.

Annotated transcription start and termination sites for fission yeast

Further details are available on the pombe mailing list.

Genome reappraisal reveals new genes and revised gene structures

Further information on the pombe mailing list.

Schizosaccharomyces Comparative Genome Paper Published

A paper describing the major findings of the Schizosaccharomyces Comparative Genome Project was published today in Science Express and reported changes are included in GeneDB.

Further details are described in the pombe mailing list posts:

GeneDB (S. pombe) now uses the latest release of the Pfam protein family database(25.0).

PomBase NAR paper published online

A paper describing PomBase has been published online will be included in the 2012 Database Issue of Nucleic Acids Research. Abstract and open access full text are available.

PomBase preview launch

A preview of PomBase, the new model organism database for the fission yeast Schizosaccharomyces pombe, has been announced to the S. pombe community for testing and feedback. For more on PomBase, see the NAR Database Issue paper (PubMed abstract) or contact the PomBase staff.

PomBase web site fully live

We are pleased to announce that the PomBase web site, www.pombase.org, is now fully live; the preview phase has ended. The site has been updated with an assortment of new features, datatypes, and bug fixes.

More recent data, reflecting additions and changes through March 20, 2012, are now available on gene pages and in search results.

The updated site features a Gene List Search that provides behavior equivalent to GeneDB’s List Download. You can now type or paste lists into the Gene Systematic IDs and Gene Names filters, and use the Query History to combine a gene list search with other search options. For convenience, there is a direct link to a search page pre-configured to accept a list of systematic IDs available in the Find menu, on the Find page, and here: http://www.pombase.org/spombe/query/builder?filter=12

The Advanced Search also now offers:

  • options to search GO, FYPO, and other ontologies by term name or ID;
  • autocomplete for ontology term name search;
  • ability to search for genes in a region, such as centromeres or telomeres;
  • improved organization of filter selections.

We have also fixed a Sequence Download error reported by some users, so that the “CDS”, CDS + UTRs”, and “CDS + UTRs + Introns” options now retrieve the correct sequences.

In addition, numerous minor improvements have been made. Please send any questions or comments on the PomBase web site to us at <>.

New data and new features on PomBase web site

We are pleased to announce that we have updated both data and web site features for PomBase.

Most importantly, we have added new data types, and upgraded the gene pages to display them.

We have also added more annotations of existing data types, bringing the web site content up to September 11, 2012. The new annotations include the first contributions to come in via the new community curation system, and we thank the researchers who are participating in the initial phase of community curation.

New annotation types:

  • Phenotype annotations now use the Fission Yeast Phenotype Ontology (FYPO), and include allele details, expression levels, and experimental conditions. With FYPO, more detailed phenotypes can be described, and links between terms for related phenotypes support improved phenotype searches.
  • Many GO annotations now include “annotation extensions” that provide additional specificity. For example, extensions may capture the substrate of a catalytic activity, the cell cycle phase during which a function or process occurs, or any of several other types of supporting information for the annotation. Annotation extensions are described in more detail below.

You can see these new data types on many gene pages, such as cdc2 or pka1.

New web site features:

  • Annotation display - Gene page GO and phenotype displays have been revamped to show new annotation types described above.
  • Ontology term pages - Each ontology term ID now links to pages with information about the term and lists of genes annotated to it.
  • Ontology graph links - GO and phenotype annotation sections now include links to graphical ontology displays in the genome browser.
  • Sequence highlighting - Sequence download now offers an option to show colour highlighting of regions such as UTRs, introns and exons.
  • Versions - Each gene page now shows the current data version in the format PomBase:x.y, where x is the Ensembl Genomes (EG) version, and y is the Chado version. The sequence, and sequence feature locations, remain stable within any EG version, whereas annotations change with each Chado update.
  • Protein family information is now included in the Protein Features gene page section.
  • The Protein Feature section includes a link to the Pfam entry for a protein.
  • Transcript source data (e.g. for UTR coordinates) is now displayed in the Transcript Features section.
  • A Documentation page contains links to relevant portions of the Ensembl Genomes documentation. (More documentation will be added over the coming months.)

What are annotation extensions?

Annotation extensions are a form of supporting data that can be added GO annotations (or other ontology annotations) to capture additional details not provided by the ontology term itself.

The information in GO annotation extensions encompasses several effector-target relationships, such as

  • localisation dependencies
  • substrates of functions, e.g. targets of a protein kinase – see the has_substrate extensions on Cdc2’s “protein serine/threonine kinase” (GO:0004674) annotations
  • activators and inhibitors
  • regulation targets of signalling pathways or transcription factors

Additional extensions describe spatial and temporal aspects of processes. For example, several S. pombe annotations now include extensions that indicate in which phase of the cell cycle a gene product is found in a cellular component or involved in a process – see the pka1 annotations to “nucleus” (GO:0005634) and “cytoplasm” (GO:0005737).

You may also find the GO wiki page on annotation extensions informative, although it is primarily aimed at curators.

Annotation extensions can also be used with phenotype annotations. The most common usage of phenotype annotation extensions is to capture which gene, protein, etc. was used in an assay. For example, the sam5 (G441E) mutation of pka1 causes nuclear accumulation of Ste11. This is represented by annotation to the ontology term “nuclear protein accumulation” (FYPO:0000255), with the extension “assayed_using(PomBase:SPBC32C12.02)”. Extensions can also indicate expressivity or penetrance for a phenotype.

Speed improvements and new data on PomBase web site

We have updated the data available on the PomBase web site. The data now includes manual curation through December 17, 2012, and reflects complete curation of an additional 70 papers.

We have also made some improvements “under the hood” that should make gene page loading much faster. Please let us know if you have any problems with gene pages loading slowly or incompletely, whether or not you have reported issues in the past.

We are aware that there is an intermittent problem with the “Reference” column display in the data tables – sometimes a PubMed ID appears instead of an author name and year. This problem will be fixed as soon as possible. Please alert us if you notice anything else odd or wrong.

Data update on PomBase web site

We have once again updated the data available on the PomBase web site. The data now includes manual curation through March 6, 2013.

We now expect to be able to update PomBase data every month, and will soon have an automated pipeline in place. We thank all of you for your patience during the long months when updates were infrequent.

You should also see a few small improvements in the site:

  • Ontology term pages now display the text definition for each term.
  • FASTA sequence retrieval should be quicker, and less likely to time out, for large gene lists.
  • There has been some tidying of the display of “extension” data for GO and phenotype annotations.

Last month we noted an intermittent problem with the “Reference” column display in the data tables. The occurrence of this problem should now be greatly reduced, so please let us know if you see it recurring.

As usual, please don’t hesitate to alert us of any other problems with data or site performance, or if you have any questions.

Pombe 2013: registration & abstracts by Mon 8th April

Dear Pombe Fans,
      Please remember the imminent deadline (Monday 8th April) to register and submit abstracts for Pombe 2013: http://events.embo.org/13-pombe
      Abstracts are also required from all who have already been invited to talk.
      And do book your accommodation if you haven't yet done so.
      More details are in previous email forwarded below.
      Cheers,
      -Jürg & Jacky
      From: On Behalf Of Bahler, Jurg
      Sent: 18 March 2013 17:49
      To: pombelist at sanger.ac.uk
      Subject: [Pombelist] Pombe 2013: Accommodation, registration & abstracts
      Dear Pombe Afficionados,
      Only three weeks left to register and submit abstracts for Pombe 2013, by Monday 8th April: http://events.embo.org/13-pombe
      Speakers for 10 plenary talks and all workshop talks will be selected from abstracts, and there will be attractive poster prizes.
      Payment is only requested after registration, by 10th May.
      Important: if you require accommodation, please do book this real soon now. Especially the most cost-effective student accommodation (comfortable, with private bathrooms) may not be available much longer, as it will be put on general sale shortly. Both hotels and student accommodation will sell out in June, so you have to arrange it now. Information on accommodation is available here: http://events.embo.org/13-pombe/application.html
      We will provide a number of free registrations for which you can apply during online registration (a few of which are reserved for student members of The Genetics Society: you become eligible if you join them now). The meeting is also supported by the Biochemical Society, so if you are, or become, a member you can apply to them for student bursaries or, if you have been a member for at least 1 year, also for travel grants.
      We highly appreciate all the generous contributions from our sponsors so far:
      Platinum: EMBO
      Gold: Biochemical Society, Genetics Society, Formedium, Sunrise Science Products, Singer Instruments, F1000Research, PomBase/Wellcome Trust
      Silver: MDPI - Open Access Publishing, Hybrigenics, Infors, Life Technologies, Bioneer
      Bronze: Nature Communications, m2p labs, Imsol, Open Biology
      We look very much forward to welcoming you in London this June!
      All the best,
      -Jürg & Jacky

Carl Singer Foundation Established

Carl Singer, who was an integral part of the yeast research community for many years, passed away on February 8, 2013. Throughout his career, Carl supported yeast research both with his engineering expertise and with his good cheer. In tribute to Carl, the Singer family has now set up The Carl Singer Foundation, a charitable foundation dedicated to supporting scientific education in the field of yeast genetics. Questions about the foundation may be directed to Harry Singer at harry [at] thecarlsingerfoundation.org.

Carl’s family would be happy to receive memories of Carl’s life at regards [at] singerinstruments.com.

H/T SGD

Quantitative gene expression data available in PomBase

We have extended the Gene Expression section of each gene page to support the display of quantitative expression data, and are now showing data from two publications:

  • Marguerat S, Schmidt A, Codlin S, Chen W, Aebersold R, BählerJ. 2012. “Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.” Cell 151:671-683.
  • Wu JQ, Pollard TD. 2005. “Counting cytokinesis proteins globally and locally in fission yeast.” Science 310:310-314.

We will also soon refine the display of the new expression data, and can add more datasets upon request. We thank Sam Marguerat for preparing the data from both papers for inclusion in PomBase.

We have also updated the PomBase site to include manual curation through April 4, 2013, and we have updated the “all gene names” file on the PomBase ftp site. The new file is available at
https://www.pombase.org/data/names_and_identifiers/gene_IDs_names.tsv

Link updated 2021-02-04

GeneDB S. pombe decommissioned

As of 14 May 2013, the old GeneDB database for S. pombe is no longer available. This resource consisted of static web pages, was not updated after March 2012, and not supported by an underlying relational database. The PomBase site fully supersedes GeneDB S. pombe, and provides improved infrastructure that will meet the current and future needs of the fission yeast community. Please e-mail the helpdesk if you cannot find a replacement for any GeneDB functionality in PomBase.

PomBase data update

We have updated the data available on the PomBase web site. The data now includes manual curation through 13 May, 2013.

PomBase data update 2013-06-20

PomBase data now includes manual curation through June 9, 2013, and represents complete annotation for 664 publications (as well as partial curation of many more). A highlight of this month’s literature curation update is the addition of over 9400 phenotype annotations, representing about 95% of the phenotype data from the recently published genome-wide study of cell cycle and cell morphology (Hayles et al. Open Biology May 2013; PMID:23697806). We have also improved the display of allele details for phenotype annotations. Other changes include better support for gene synonyms in the simple search, regular updates to the UTR data files, and a number of minor adjustments to external links in the annotation data tables and the external references section.

PomBase launches community curation

At the pombe 2013 conference in London, PomBase officially launched its community curation initiative, which allows researchers to contribute publication-based annotations directly to the database. PomBase curators invite lab heads by individual email to curate newly published papers, providing links to the online curation system and its documentation. Researchers can also initiate curation of any older fission yeast publication in PubMed. Community curation uses the open-source online tool Canto.

PomBase website update

We’d like to highlight a few improvements we’ve just made to the PomBase website. Most of the changes affect the gene pages:

  • The basic information display at the top of each gene page is more compact.
  • For ontology annotations, the number of genes annotated is now shown, in a column labeled “Count” (also, changes behind the scenes involving this data mean that pages should load faster).
  • Annotation extensions for GO are displayed using human-friendly text instead of internal “relation” labels.
  • The Quick Links box can now be collapsed and expanded by clicking its header.
  • Display of modification annotations using PSI-MOD is improved.

In addition, the Motif Search output now includes standard gene names and product descriptions. As we noted in a separate message, CDS coordinate files are once again available from the Downloads, with accurate and up-to-date data.

pombelist has moved

Update: This item dates from July 2013, and the links in it no longer work. \ Please see the Fission Yeast Community page for the current mailing list link. \ (2020-02-18)

The pombe community mailing list, pombelist, has migrated from the Wellcome Trust Sanger Institute and is now hosted by EBI. The new address is (please note that the old address no longer works, and will generate an automatic notification including the new address). The link to subscribe has also been updated, and the entire archive is available at the new location.

Connecting With PomBase

To complement the mailing list and twitter (@PomBase) it is now possible to follow the activities of PomBase and interact with other members of the pombe community via the new LinkedIn Group and Google+.

Links to these are also available from the front page of the PomBase.org site.

Send HTP data to PomBase

At the pombe 2013 meeting in London, PomBase staff received numerous requests display various published data, such as gene expression, histone modifications, etc. in the genome browser. To provide this, we now invite pombe researchers to send data: If you have published any high-throughput experiments that produced data  that can be associated with genome sequence coordinates, and thereby displayed as tracks on the PomBase genome browser, please fill out the HTP Data Submission Form. We can also accept large sets of phenotype data via the Phenotype Data Submission Form. If you have any problems or questions, contact us via the PomBase Helpdesk at any time.

PomBase data update 2013-09-15

We have once again updated the data available on the PomBase web site. The data now includes manual curation through August 11, 2013. We are particularly pleased to note that this update includes annotations from several dozen papers curated by the S. pombe community. Many thanks to all who have done, or are doing, paper curation in Canto.

We also have an updated version of the S. pombe/human ortholog table available upon request.

PomBase User Survey open

To guide current and future development, PomBase is now conducting a user survey, where we invite the fission yeast research community and any other PomBase users to evaluate the resources provided so far and comment on future priorities. The survey should take about 10 minutes to complete. Thank you for your participation!

https://www.surveymonkey.com/s/NDM2BQX

PomBase data update 2013-10-21

The PomBase web site has been updated and now includes manually curated data through October 6, 2013. The number of community-curated papers continues to increase, ensuring that PomBase gene pages contain complete and up-to-date information. We are also pleased to announce that data tracks are now available in the genome browser for data from these two publications:

  • Woolcock KJ, Gaidatzis D, Punga T, Bühler M. 2010. Dicer associates with chromatin to repress genome activity in Schizosaccharomyces pombe. Nat Struct Mol Biol. 2011 Jan;18(1):94-9. doi: 10.1038/nsmb.1935 PMID:21151114
  • Mata J. 2013. Genome-wide mapping of polyadenylation sites in fission yeast reveals widespread alternative polyadenylation. RNA Biol. 2013 Aug 1;10(8):1407-14. doi: 10.4161/rna.25758 PMID:23900342

New “Target Of” gene page section

With the October 2013 update, gene pages now include “Target Of” annotations, which describe genes that affect the gene of interest. These annotations are essentially the reciprocal of ontology annotation extensions. Each “Target Of” annotation includes a relationship that indicates how the genes are connected, the name and product of the second gene, and a reference. Genes listed under “Target Of” may include upstream regulators or enzymes that modify the product of the gene of interest. For example, the “Target Of” annotations for cdc2 indicate that it is a substrate of, and regulated by, the kinase Wee1 and the phosphatase Cdc25 (among others). At present, “Target Of” data includes annotations derived from GO annotation extensions. We will soon extend it to include data from phenotype annotation extensions.

PomBase survey results available

The 2013 PomBase user survey closed at the end of October, and the results are available here (PDF at FTP site). Some highlights have been sent to the pombe mailing list. Many thanks to all who completed the survey.

Link updated 2021-02-04

2013 meeting mini-reviews published

A series of mini-reviews, which were invited in association with the International Fission Yeast Meeting in London, have now been published in Biochemical Society Transactions: http://www.biochemsoctrans.org/bst/041/6/default.htm#c

(Thanks to Jürg Bahler for this item)

PomBase data update 2013-12-08

We have updated the data available on the PomBase web site to include manual curation through November 11, 2013. We now have future meetings available as a calendar or a list. The FAQ and some documentation pages have also been updated.

2021-08-18: Updated to remove out-of-date links (events are now listed only as news items).

Human ortholog data correction coming next month

We are about to release a data update for PomBase. Please note that there is still a problem with the human orthologs, as originally described on this list in mid-December (see archived message at http://listserver.ebi.ac.uk/pipermail/pombelist/2013/003926.html). We will correct this problem in the next PomBase release, and apologise for any inconvenience in the meantime.

PomBase data update 2014-02-20

We have once again updated the data available on the PomBase web site. The data now includes manual curation through January 10, 2014, and covers over 100 papers that have been curated in Canto by community members. We again thank all who have contributed curation via Canto.

We have made some improvements to the gene pages. Highlights:

  • The Sequence section now has links to NCBI BLAST as well as Ensembl BLAST.
  • The External References section now links to the Pomb(A) polyadenylation viewer.

In the genome browser, new data tracks are now available for data from these publications:

  • Rhind N, [and many more]. 2011. Comparative functional genomics of the fission yeasts. Science 332(6032):930-6. doi: 10.1126/science.1203357. PMID:21511999
  • Schlackow M, Marguerat S, Proudfoot NJ, Bähler J, Erban R, Gullerova M. 2013. Genome-wide analysis of poly(A) site selection in Schizosaccharomyces pombe. RNA. 19(12):1617-31. doi:10.1261/rna.040675.113. PMID:24152550
  • Soriano I, Quintales L, Antequera F. 2013. Clustered regulatory elements at nucleosome-depleted regions punctuate a constant nucleosomal landscape in Schizosaccharomyces pombe. BMC Genomics. 14:813. doi:10.1186/1471-2164-14-813. PMID:24256300 (partial data;  remainder coming in the next update)
  • Xu J, Yanagisawa Y, Tsankov AM, Hart C, Aoki K, Kommajosyula N, Steinmann KE, Bochicchio J, Russ C, Regev A, Rando OJ, Nusbaum C, Niki H, Milos P, Weng Z, Rhind N. 2012. Genome-wide identification and characterization of replication origins by deep sequencing. Genome Biol. 13(4):R27. doi:10.1186/gb-2012-13-4-r27. PMID:22531001

Now that more data tracks are available, we have added some categories to the track configuration section to improve organization. Additional documentation is in preparation, and will be announced here when available.

Genome sequences for additional Schizosaccharomyces species (S. japonicus, S. octosporus, and S. cryophilus) have recently become available in Ensembl Fungi, and the PomBase genome browser now includes comparative genomics data, with a view of region comparisons between each new genome and S. pombe.

PomBase data update 2014-03-20

Data on the PomBase web site now includes manual curation through February 24, 2014. Human orthologs that went missing from gene pages have been restored, and other small improvements have been made to gene pages. Community curation now covers over 130 publications.

PomBase data update 2014-05-15

We have updated the data available on the PomBase web site. The data now includes manual curation through April 28, 2014. Transcriptome data from Margeurat et al (2012) is now available as Ensembl Browser tracks.

Thank you to all who have done, or are doing, paper curation in Canto. Over 159 community-curated papers are now included in PomBase.

There are a number of routes to accelerate your data into PomBase, (either through community curation, or by supplying HTP sequence, modification or phenotype data in one of our specified formats), see http://www.pombase.org/submit-data for more details.

As usual, please don’t hesitate to alert us of any other problems with data or site performance, or if you have any questions.

Sincerely yours,
The PomBase Staff

Gene Ontology publication on annotation extensions

PomBase was an early adopter of annotation extensions, which add spatial, temporal, or substrate/target details to GO annotations. The GO Consortium has now published a paper describing its implementation of annotation extensions, in which PomBase examples and its gene page display figure prominently:

Huntley, R.P. et al. (2014) A method for increasing expressivity of Gene Ontology annotations using a compositional approach. BMC Bioinformatics 2014, 15:155. doi:10.1186/1471-2105-15-155 PMID:24885854

PomBase data update 2014-07-08

We have updated the data available on the PomBase web site. The data now includes manual curation through June 6, 2014. In other improvements, a downloadable file of intron sequence data (FASTA format) is now available, and phenotypes are now included in the Target Of section on gene pages.

The gene pages also now display protein modification data from two large-scale datasets:

  • Wilson-Grady JT, Villén J, Gygi SP. 2008 .Phosphoproteome analysis of fission yeast. J Proteome Res. 2008 Mar;7(3):1088-97. doi:10.1021/pr7006335. PMID:18257517
  • Carpy A, Krug K, Graf S, Koch A, Popic S, Hauf S, Macek B. 2014. Absolute proteome and phosphoproteome dynamics during the cell cycle of fission yeast. Mol Cell Proteomics. 2014 Apr 23. [Epub ahead of print] PMID:24763107

Link updated 2021-02-04

PomBase data update 2014-07-17

We have updated the data available on the PomBase web site to include manual curation through July 8, 2014. The gene pages also now display protein modification data from an additional large-scale dataset:

Koch A, Krug K, Pengelley S, Macek B, Hauf S. 2011. Mitotic substrates of the kinase aurora with roles in chromatin regulation identified through quantitative phosphoproteomics of fission yeast. Sci Signal. 4(179): rs6 doi: 10.1126/scisignal.2001588 PMID:21712547

We have also made corrections to some residue positions affected by sequence updates in one of the modification datasets we added last month:

Carpy A, Krug K, Graf S, Koch A, Popic S, Hauf S, Macek B. 2014. Absolute proteome and phosphoproteome dynamics during the cell cycle of fission yeast. Mol Cell Proteomics. 2014 Apr 23. [Epub ahead of print] PMID:24763107

PomBase data update 2014-08-18

We have updated the data available on the PomBase web site to include manual curation through August 8, 2014. Community curation now covers over 190 papers. Gene pages now include links to the S. pombe PeptideAtlas, a database of peptides identified in tandem mass spectrometry proteomics experiments.

PomBase data update 2014-09-16

We have updated the data available on the PomBase web site to include manual curation through August 30, 2014. Community curation now covers over 200 papers.

PomBase data update 2014-11-12

We have updated the data available on the PomBase web site to include manual curation through October 27, 2014, including 225 community-curated publications. The gene page Phenotype section now includes data from the high-throughput microscopy analysis of viable deletion mutants reported in:

Graml V, Studera X, Lawson JL, Chessel A, Geymonat M, Bortfeld-Miller M, Walter T, Wagstaff L, Piddini E, Carazo-Salas RE. A Genomic Multiprocess Survey of Machineries that Control and Link Cell Shape, Microtubule Organization, and Cell-Cycle Progression. Dev Cell. 2014 Oct 27;31(2):227-39. doi: 10.1016/j.devcel.2014.09.005 PMID:25373780. Links to the accompanying SYSGRO resource have been added to the External References section of the gene pages.

The genome browser now includes tracks for intron branch point data from:

Bitton DA, Rallis C, Jeffares DC, Smith GC, Chen YY, Codlin S, Marguerat  S, Bähler J. LaSSO, a strategy for genome-wide mapping of intronic  lariats and branch points using RNA-seq. Genome Res. 2014 Jul;24(7):1169-79. doi: 10.1101/gr.166819.113 PMID:24709818.

We have greatly improved search results for GO and FYPO annotations: both now follow more relationship types within the ontology to retrieve genes annotated to a term. The PomBase GO search now includes the regulates relationships, so its search results are consistent with those in the GO Consortium’s AmiGO browser. The FYPO search now uses has_part, has_output, and output_of as well as is_a and part_of. The Phenotype section now includes a highlighted sub-header that indicates whether a deletion mutant is viable or inviable. A file of protein complex subunits is available for download, and numerous smaller improvements have been made in the gene pages and static pages.

esyN network visualizations in PomBase

PomBase has implemented network visualisations for fission yeast in esyN, using data curated by BioGRID and PomBase. esyN is a web-based tool for building, sharing, and viewing network data developed by Dan Bean and Giorgio Favrin in the Cambridge Systems Biology Centre, University of Cambridge, UK.

On gene pages, we have links to gene-specific interaction networks in esyN in the table headers of the Interactions sections:

  • The Genetic Interactions section links to all interactions centred on the gene and curated in BioGRID
  • The Physical interactions section has links to two datasets:

We also have esyN links on the GO Slim page and on ontology term pages for GO Slim biological process terms. Each GO Slim term links to the HCPIN physical interaction network in esyN (for example, see the “regulation of mitotic cell cycle” network).

New compact GO annotation display

To make the Gene Ontology (GO) annotations easier to read on PomBase gene pages, we have introduced a new, streamlined display that presents just the essentials. The summary shows the term name (hyperlinked to the ontology term page), the count of genes annotated to the term, and any annotation extensions. All of the previously visible annotation details are still available – simply click the “Summary” button to switch to the “Full” view. Or click the “+” and “-” icons to expand or collapse the annotation to a single term.
 
In addition, the top of the Biological Process table now lists any GO slim terms applicable to the gene.

PomBase data update 2015-01-26

We have updated the data available on the PomBase web site to include manual curation through January 12, 2015, including 240 community-curated publications. The gene page Phenotype section now features a compact default display. A downloadable “viability summary” data file is now available. The PomBase BLAST server has incorporated interface changes made Ensembl-wide.

PomBase data update 2015-02-16

We have updated the data available on the PomBase web site to include manual curation through February 2, 2015, including 245 community-curated publications. On the gene pages, the interaction tables now provides a bit of descriptive text for each annotation, indicating the nature and direction of the interaction.

Pombe 2015 registration now open

Registration for Pombe 2015: 8th International Fission Yeast Meeting is now open at the conference web site, https://amarys-jtb.jp/web/Pombe2015/index.html

The registration deadline is 17 May 2015.

Thanks to Yasushi Hiraoka for this item.

PomBase data update 2015-03-23

We have updated the data available on the PomBase web site to include manual curation through March7, 2015, including 250 community-curated publications.The autocomplete feature of the Advanced Search ontology term filter has been improved with respect to response time and relevance of suggested terms.

Pombe 2015 abstract deadline approaching

Abstracts are due on Sunday, April 19, 2015 for the 8th International Fission Yeast Meeting in Kobe, Japan. Registration will remain open until May 17, but the abstract submission deadline cannot be extended.

PomBase data update 2015-04-19

We have updated the data available on the PomBase web site to include manual curation through April 7, 2015, including 260 community-curated publications.The Advanced Search now supports queries for proteins with a specified number of transmembrane domains.

Pombe 2015 poster abstract deadline extended

The abstract submission deadline for the 8th International Fission Yeast Meeting in Kobe, Japan has been extended until midnight Friday, April 24 for posters only. Registration is open until May 17.

Pombe 2015 travel fellowships

Applications are now being accepted for fellowships to provide financial support for students and postdocs attending the 8th International Fission Yeast Meeting in Kobe, Japan. To apply, follow the instructions sent to the pombase mailing list. The deadline is may 17, 2015 (same as the registration deadline).

Canto downtime & new version

Canto, PomBase’s literature curation tool, will be unavailable for approximately 3 weeks starting at 12:00 midnight UK time (BST) tonight, 27 May 2015, while we deploy an upgraded version.

The upgraded Canto will feature an entirely new interface for annotating multi-allele phenotypes and the corresponding genotypes, as well as improved workflows for single-allele phenotypes, GO, etc. All existing annotations will be retained, and users can resume curation using the new and improved features in any unfinished sessions when Canto is back online.

We will announce when the new version of Canto is released to the public.

PomBase data update 2015-05-26

We have updated the data available on the PomBase web site to include manual curation through May 8, 2015, including 265 community-curated publications.

PomBase data update 2015-06-16

We have updated the data available on the PomBase web site to include manual curation through May 26, 2015, including 270 community-curated publications. See you at Pombe 2015 in Kobe!

PomBase data update with multi-allele phenotypes

We have updated the data available on the PomBase web site to include manual curation through August 13, 2015, including 300 community-curated publications.

PomBase gene pages now include multi-allele phenotype annotations (i.e. phenotypes of double mutants, triple mutants, etc.). New sub-sections of the gene pages display multi-allele phenotypes at the population and individual cell level, paralleling the organisation of the single allele phenotype display. Compact and full views are available; both show phenotypes with the relevant genotypes and the alleles that make them up, and the full view adds details for evidence, expression, conditions, and references.

The genome browser now includes data tracks for two more publications:

DNA polymerase usage from:
Daigaku Y, Keszthelyi A, Müller CA, Miyabe I, Brooks T, Retkute R, Hubank M, Nieduszynski CA, Carr AM. 2015. A global profile of replicative polymerase usage. Nat Struct Mol Biol. 2015 Mar;22(3):192-8. doi: 10.1038/nsmb.2962 PMID:25664722

Promoters and transcription start sites from:
Li H, Hou J, Bai L, Hu C, Tong P, Kang Y, Zhao X, Shao Z. 2015. Genome-wide analysis of core promoter structures in Schizosaccharomyces pombe with DeepCAGE. RNA Biol. 2015;12(5):525-37. doi: 10.1080/15476286.2015.1022704 PMID:25747261

Codon adaptation index (CAI) values are now included in the Protein Properties section of the gene pages and in the downloadable PeptideStats.tsv file. A file of amino acid composition data is also available from the FTP site and the Protein Datasets page.

The gene page section that was formerly misnamed “species distribution” is now called “taxonomic conservation”.

PomBase data update; viability summary correction alert

We have updated the data available on the PomBase web site to include manual curation through September 6, 2015.

Errors in the previous FYPOviability.tsv file have been corrected, and we recommend that all users update this file, especially those who downloaded it earlier in September 2015.

New genetics primer for fission yeast

A new genetics primer, aimed at researchers interested in using fission yeast as a model system, has recently been published. The primer includes a brief history of fission yeast research, an introduction to available genetic tools, and the use of PomBase for data analysis

Hoffman CS, Wood V, Fantes PA. (2015) An Ancient Yeast for Young Geneticists: A Primer on the Schizosaccharomyces pombe Model System. Genetics 201:403-423. PMID:26447128 DOI:10.1534/genetics.115.181503

New Advanced Search features

We have introduced new features to the Advanced Search:

  • There are now two query reuse options: store a query in your web browser cache, or download a JSON file that can be uploaded later to re-run.
  • You can now query for genes that interact genetically or physically with a specified gene.
  • The FYPO query now offers options to choose nulls (deletions or disruptions), wild-type overexpression, or all alleles. The search results will include any genes that have an allele that matches the allele criteria and the chosen phenotype.

PomBase data update 2015-12-02

We have updated the data available on the PomBase web site to include manual curation through November 9, 2015, including 340 community-curated publications.

PomBase data update 2016-02-11

We have updated the data available on the PomBase web site to include manual curation through January 25, 2016.
The genome browser includes variation data, in tracks under “Variation”, from natural S. pombe isolates, published in:

Jeffares DC et al. 2015. The genomic and phenotypic diversity of Schizosaccharomyces pombe. Nat Genet. 47(3): 235-241. doi:10.1038/ng.3215 PMID:25665008

New files are now available from the PomBase FTP site, and are linked from pages in the Download Datasets area:

  • Non-coding RNA sequence feature coordinates (available via the Data Mappings page);
  • Protein features, such as domains and family assignments (available via the Protein Datasets page);
  • Protein modification annotations (also in Protein Datasets).

The New and Removed Genes page has been updated to reflect recent deletions and merges.

Note: Ontology graph views are no longer available in the genome browser, so links have been removed from the GO, FYPO, and modification tables on the gene pages. For GO and FYPO, links to external ontology browsers that offer graphical views are available on the Ontology Term pages.

PomBase data update 2016-04-11

We have updated the data available on the PomBase web site to include manual curation through March 9, 2016.

Important: We have corrected a problem that made erroneous interaction data and literature appear on some gene pages.

The gene pages now include interaction data from the Vo et al. proteome-wide study (curated by BioGRID and imported into PomBase):
Vo TV et al. 2016. A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human. Cell 164(1-2): 310-23. doi: 10.1016/j.cell.2015.11.037 PMID:26771498.

The genome browser now includes transcriptome data published in:

Eser P, Wachutka L, Maier KC, Demel C, Boroni M, Iyer S, Cramer P, Gagneur J. 2016. Determinants of RNA metabolism in the Schizosaccharomyces pombe genome. Mol Syst Biol. 12(2): 857. doi: 10.15252/msb.20156526 PMID:26883383.

PomBase data update 2016-05-09

We have updated the data available on the PomBase web site to include manual curation through April 8, 2016.

PomBase data update 2016-05-31

We have updated the data available on the PomBase web site to include manual curation through May 12, 2016.

Our model organism database commentary

Several of the PomBase staff, joined by our advisor Sir Paul Nurse, have published a Comment in BMC Biology briefly describing the importance of model organism databases to the success of modern biomedical research:

Oliver SG, Lock A, Harris MA, Nurse P, Wood V. 2016. Model organism databases: essential resources that need the support of both funders and users.
BMC Biol. 2016 14(1): 49. doi: 10.1186/s12915-016-0276-z. PMID:27334346

Show your support for database funding

In response to planned cuts to database funding, leading model organism researchers have prepared an open letter to NIH Director Dr. Francis Collins to demonstrate support for the independent community-focused databases that are essential to their work. Although PomBase is not directly funded by NIH, we collaborate extensively with those that are, including the GO Consortium and several model organism databases.

The Genetics Society of America website where the letter can be viewed and signed is at http://www.genetics-gsa.org/MODsupport

Please sign the letter to add your voice in support of the databases that help make your research possible. For more information, we recommend an email that Mike Cherry sent to the GO-Friends mailing list, archived at https://mailman.stanford.edu/pipermail/go-friends/2016-June/002355.html

PomBase data update 2016-10-19

We have updated the data available on the PomBase web site to include manual curation through September 11, 2016.

9th International Fission Yeast Meeting registration open

Registration for the 9th International Fission Yeast Meeting is now open. The meeting will be held in Banff, Canada from May 14-19, 2017. Early registration closes Dec 1, 2016! Please see our website at www.pombe2017.com for details. We look forward to seeing you in Banff!

- Conference Organizers: Dallan Young, Gordon Chua, Paul Young

9th International Fission Yeast Meeting - early registration closes soon

Reminder: early registration for the 9th International Fission Yeast Meeting in Banff closes Dec. 31, 2016. Please see the conference website at www.pombe2017.com for details.

New, improved PomBase goes live

The new PomBase web site, which has been under development during 2017, has been released. The new site features:

  • Nightly data updates
  • New publication pages
  • New genotype pages
  • Improved ontology term pages
  • Improved summary views for annotation displays
  • Phenotype annotation display filtering
  • Faster querying in the advanced search
  • Front page research and community curation highlights
  • Streamlined back-end data storage and retrieval

We thank the members of the fission yeast research community who have followed its progress via the preview site, and welcome feedback from all users.

Congratulations to GSA award winners

The Genetics Society of America (GSA) has announced two award winners familiar to the model organism database world:

  • Ira Herskowitz Award: Mike Cherry, Stanford University
  • Lifetime Achievement Award: Steve Oliver, University of Cambridge

The awards will be presented at the next Yeast Genetics Meeting, at Stanford University in August 2018. Congratulations and thanks to Mike and Steve!

In memory of André Goffeau

Sadly, PomBase staff and the fission yeast community note the death of André Goffeau on April 2, 2018. In addition to initiating and coordinating the sequencing of the budding yeast genome, Prof. Goffeau will be remembered for his contributions to the fission yeast genome project and for his knowledge, leadership, and friendship.

PomBase releases JBrowse

PomBase has now implemented JBrowse, from the GMOD project, as its genome browser. The new browser offers a number of improvements over the old:

  • Quick, responsive scrolling and zooming
  • Simple track selection interface
  • Intuitive controls
  • Simplified data submission pipeline behind the scenes
  • More informative track metadata

New book chapter about PomBase

PomBase has a new book chapter in Eukaryotic Genomic Databases (Methods and Protocols). This chapter provides insight into the curation philosophy and data organization at PomBase, and provides a guide to using PomBase tailored for infrequent visitors and anyone considering extending their research to include S. pombe. The chapter is free to download courtesy of the Wellcome Trust.

New genome browser tracks

We are very pleased to announce that we have loaded a number of new datasets into the PomBase [JBrowse genome browser (https://www.pombase.org/jbrowse/). These include:

For anyone wanting a quick introduction to our genome browser, Antonia Lock has written “Getting started with PomBase JBrowse”, a basic guide that covers loading tracks, navigating the browser, what metadata we provide, and more.

pombelist changes

The pombe community mailing list, “pombelist”, is now hosted by the University of Cambridge. The new address for posting messages is . The link to subscribe has also changed.

Transcript tracks from Atkinson et al. (2018) loaded

We are very pleased to announce that we have loaded the transcript tracks from Atkinson et al. (2018) into the PomBase JBrowse genome browser. For a brief introduction to getting started with PomBase JBrowse, please see our documentation page. If you have published data that you would like to see hosted, please get in touch.

Fungal Pathogen Genomics Course 2019 - registration open

Registration for the 2019 Fungal Pathogen Genomics Course is now open. The course is hosted by Wellcome Genome Advanced Courses and Scientific Conferences, and will take place May 7-12, 2019, at the Wellcome Genome Campus, Hinxton, UK. Course content provides hands-on training on how to: - Take advantage of unique tools offered by FungiDB, EnsemblFungi, PomBase, SGD/CGD, and MycoCosm/JGI; - Develop testable hypotheses; - Investigate transcriptomics, proteomics and genomics datasets across multiple databases and different user interfaces. Please see the course website for more information, including how to apply, costs (limited bursaries are available), programme, and logistics.

PomBase NAR Database Issue

Our NAR database update “PomBase 2018: user-driven reimplementation of the fission yeast database provides rapid and intuitive access to diverse, interconnected information” is now available. We have updated the Citing PomBase to recommend citing this new paper. Thank you all for guiding the development of the new, improved PomBase, and for your continued usage, curation contributions, and suggestions!

New PomBase genomic region graphics

PomBase gene pages now use interactive graphics from PomBase JBrowse to depict the genomic region around the gene. Drag to scroll left and right, double-click to zoom in, shift-double-click to zoom out, and click a feature to see details in a popup. The “Full-screen view” link in the corner opens the fully functional JBrowse in a new tab or window. Reloading a gene page restores the display to the default location and zoom level.

RNA central and PomBase

RNAcentral is a comprehensive database of non-coding RNA sequences. PomBase is an RNAcentral Consortium member, and all of the curated non-coding RNAs from PomBase will be available in RNAcentral soon. For more information, see their recent NAR Database Issue paper, as well as current search results for S. pombe RNAs.

Celebrating 20 years of GO

PomBase curators are major contributors to the Gene Ontology (GO) project — ontology content, annotations, and QC procedures — and co-authors on the new GO NAR Database Issue paper.

We recommend citing the GO and PomBase NAR papers when you use GO data in your analyses.

PomBase in your pocket

Our usage statistics informed us that over 20% of devices accessing PomBase are smartphones or tablets. We therefore spent some time optimizing the display for small screens. We hope that you will continue to enjoy PomBase on the go!

Hidden in plain sight: What remains to be discovered in the eukaryotic proteome?

In a new publication, PomBase curators consider the challenges and opportunities that conserved, but persistently unstudied, proteins pose for diverse areas of basic and applied biology. To draw attention to these proteins, we develop metrics to define unknown lists, provide unknown inventories for human and yeast, classify S. pombe unknowns by numerous orthogonal attributes, and speculate about reasons for their neglect.

A pre-publication manuscript is available at bioRxiv.

Fission yeast transmembrane transport overhaul

The Gene Ontology “transmembrane transport” branch has recently been substantially revised. In line with these revisions, PomBase has standardised gene product descriptions for transporters, and overhauled GO annotations to be as complete and comprehensive as possible based on current knowledge.

Icon courtesy of Reactome.

See your genes in a QuiLT

PomBase now offers a new way to display gene lists graphically based on multiple orthogonal annotation types — the Quick Little Tool (QuiLT) for visualisation.

Inspired by our recent analysis of conserved unstudied proteins (see figures 4 and S1 in the manuscript at bioRxiv), QuiLT allows you to create a similar figure for any gene list you create or import using the advanced search. To use QuiLT, follow the link to your search results, then click the “Visualise” button. QuiLT visualisation is also available from the PomBase pages that list genes annotated to an ontology term, and on the Priority unstudied genes page.

To see the Unknowns dataset in QuiLT, visit the unknowns results page and click “Visualise”.

The QuiLT display is interactive, and you can:

  • Highlight subsets of the list, and filter the display
  • Toggle annotation types on and off
  • Reorder the list to focus on features of most interest
  • Download the image

See the QuiLT documentation for more information, and contact the curators if you have comments, questions or suggestions.

Many thanks to our star (and only) programmer, Kim Rutherford, for developing QuiLT.

New nucleosome occupancy maps loaded

We have loaded the nucleosome occupancy maps as described in González et al. (2016) PMID: 27662899. This dataset was generated using the paired-end sequencing protocol of Illumina and thus those maps are of higher resolution than those made with single-end (SE) sequencing hosted in the browser since before.

Here is a link that loads the tracks in PomBase JBrowse. And here is a link to our JBrowse quickstart guide.

Many thanks to Paco Antequera for sending us the bigwig files! If you would like us to load any datasets then please get in touch.

Mitochondrial GO annotation update

Responding to increasing interest in mitochondrial biology, especially relating to ageing, neurogenerative diseases, and processes at the ER-mitochondrion interface, we have reviewed S. pombe mitochondrial GO annotations. Although there is still relatively little fission yeast-derived experimental data in this area, we have refined many inferred annotations for mitochondrial complexes and sub-components as well as some for processes.

You can see all 753 S. pombe mitochondrial annotations on the ontology term page for mitochondrion (GO:0005739).

Icon courtesy of Reactome.

Improved disease association dataset released

We are pleased to announce the release of our improved human disease mappings dataset. This dataset connects human disease causing genes to their S. pombe orthologs.

Diseases are now mapped to the Disease Ontology (DO) and the dataset has been extended by data from Malacards. All disease associations can be accessed from the top level disease page. A disease slim has been created to facilitate browsing of disease categories. Currently, 907 S. pombe genes are associated with disease (up from 610 in the original dataset). This number is due to increase as mappings are still in progress.

Many thanks to DO and Malacards for help in improving this annotation set. Icon courtesy of Julie McMurry.

Val Wood wins Biocuration society award

Congratulations to PomBase project leader Val Wood, who has received the 2019 Exceptional Contributions to Biocuration Award from the International Society for Biocuration. Read more at the ISB site

Pombe 2019 - registration open

Registration for the 10th International Fission Yeast Meeting is now open!

The conference will take place July 14-19, 2019, in Barcelona, Spain. Early registration closes on April 15th — or when capacity is reached. Please see the conference website for more information, including registration final deadline and costs (some travel grants are available), abstract submission, programme, accommodation, and logistics.

Published: Hidden in plain sight: What remains to be discovered in the eukaryotic proteome?

Our analysis of conserved unknown proteins has now been published in Open Biology. In it, PomBase curators consider the challenges and opportunities that conserved, but persistently unstudied, proteins pose for diverse areas of basic and applied biology. We develop metrics to define unknown lists, provide unknown inventories for human and yeast, and classify S. pombe unknowns by numerous orthogonal attributes, all with a view to drawing attention to the unknowns to alleviate their neglect.

International Cell Cycle meeting - registration open

Registration is now open for the Inaugural Trieste Cell Cycle Meeting, which will be held June 3-6, 2019, in Trieste, Italy.

This is the first of a planned series of biennial cell cycle meetings that will take place in Europe, and will alternate with the Salk Cell Cycle meetings held on the US west coast.

Organisers Rob de Bruin, Snezhana Oliferenko, Rosella Visintin and Peter Thorpe hope to see you there!

Icon derived from meeting image; credit: Chantal Roubinet, Baum lab

South Eastern Regional Yeast Meeting (SERYM) - registration open

Registration is now open for the 26th annual South Eastern Regional Yeast Meeting (SERYM), which will be held April 12-14, 2019, in Atlanta, GA, USA.

Fission yeast’s own Susan Forsburg is the keynote speaker. The meeting brings together researchers who use any type of yeast as a model system, covering diverse, interdisciplinary topics from strategies for treatment of fungal disease to modeling human disease in yeast.

Icon: SERYM 2019

GO slim for any S. pombe gene list

PomBase’s advanced search now allows you to retrieve GO slim annotations for any set of search results. To find GO slim annotations for your own list of S. pombe genes, use the advanced search “Gene names and IDs” option, and then use the “Slim” button on the search results page.

See the fission yeast GO slim page and the advanced search documentation for more information.

ICYGMB 2019 - registration open

Registration is now open for the 29th International Conference on Yeast Genetics and Molecular Biology (ICYGMB), which returns to Gothenburg, Sweden, August 18-22, 2019.

Yeast2019 is the meeting of the international yeast research community where the latest, and even unpublished results are exchanged, and new projects, alliances, and collaborations are founded. Featuring 55 confirmed speakers including keynote lectures by Susan Gasser, Roger Kornberg and Frederick Roth, this conference will contain important news and information for all yeast researchers. A do-not-miss-event.

The PomBase motif search has been fully integrated into the website, and allows users to find protein motifs and send them directly to the PomBase advanced search.

S. pombe included in Gene Info browser extension

S. pombe gene information is now included in the Gene Info extension (GIX) for the Chrome and Firefox web browsers. GIX allows you to retrieve information about a gene product directly on any webpage simply by double clicking an official gene name, synonym or supported accession. Searching or double-clicking on text terms retrieves gene function annotation, GO terms, external database links, and interaction data drawn from BioGRID and IntAct. Retrieved gene names are automatically hyperlinked for rapid recursive searches.

GeneInfo is fully open source, available online at GitHub. Tutorial videos, a step-by-step guide, and download links for Firefox Add-ons and the Chrome web storeare available online. GeneInfo was developed by James Knight in the Gingras Lab at the Lunenfeld-Tanenbaum Research Institute in Toronto, Canada.

PomBase InterPro Update

PomBase now uses InterPro Version 73.0, which integrates 1,531 new methods from the CATH-Gene3D (122), CDD (330), PANTHER (1075), Pfam (2), PROSITE profiles (1) and TIGRFAMs (1) databases, and covers 81.2% of UniProt Knowledgebase release 2019_02.

See the news item at InterPro for additional information, including release notes.

Customisable FASTA download

You can now download nucleotide or peptide sequences for genes in Advanced search results in FASTA format, and customise what is included in the FASTA headers (e.g. gene names, product descriptions, sequence coordinates, or various IDs can be included).

We have added new external links to PomBase gene pages for structure and ortholog predictions:

  • Protein-specific links to SWISS-MODEL, a fully automated protein structure homology-modelling server, accessible via the ExPASy web server, lead to a SWISS-MODEL Repository page for each sequence and present results. If no structure or model is available, you can either trigger adding an entry to the repository with a single click or easily interactively search for templates and build models in your own SWISS-MODEL workspace.

  • Ensembl Fungi Compara and Ensembl Pan-taxonomic Compara links lead to orthology predictions from the Ensembl Compara pipeline for fungi and all species, respectively.

  • PANTHER links retrieve gene information, classification, and predicted orthologs.

tRNA metabolism GO annotation update

The process of tRNA metabolism, and the associated molecular functions have recently been reviewed.

Please let us know if the annotation can be further improved.

“Fitness Landscape of the Fission Yeast Genome” dataset loaded into JBrowse

We have loaded the Grech et al. (2019) “Fitness Landscape of the Fission Yeast Genome” dataset into JBrowse. In this study, transposon mutagenesis libraries were created to map transposon insertion sites in the S. pombe genome. From this data, functional elements of the genome were inferred. The tracks from this study can be loaded by a single click from the linked publication page above

Thanks Dan Jeffares for sending us the data.

For anyone new to JBrowse we have a quick start guide.

Join the conversations on Slack

The vibrant fission yeast community now has a Slack channel. Slack provides a forum for the research community. Follow conversations you care about, message colleagues privately, or in groups, ask questions, post responses. All archived and searchable.

Replication origin data loaded into JBrowse

We have loaded data from: Segurado et al. (2003) “A+T-rich islands”, Hayashi et al. (2007) “Pre-replicative complex localization; early and late firing origins”, and Mickle et al. (2007) “Replication origins with functional classification”.

To view the tracks, either follow the hyperlinks above to the respective PomBase publication pages, and click on the “view” link after “Datasets from this publication are available in the PomBase JBrowse genome browser”, or go directly to the browser and click on the “select tracks” button to find the tracks manually.

For anyone new to JBrowse we have a quick start guide.

PomBase now uses InterPro Version 76.0

PomBase now uses InterPro Version 76.0, which integrates 277 new methods from the CATH-Gene3D (1), PANTHER (178) and CDD (98) databases. InterPro cites 59846 publications in PubMed. See the InterPro release notes for further information.

New PomBase funding from the Wellcome Trust

We are pleased to announce that the recent PomBase application for continued Wellcome Trust funding was successful. Although the grant was not fully funded, we are confident that we can cover the shortfall by small grants for stand-alone projects and collaborations. We would like to thank the pombe community for their support with the application, and the Wellcome Trust for their continued funding. We look forward to supporting your research until 2025 (and beyond).

Browser tracks now loadable from publication pages

Data tracks from datasets hosted in the PomBase genome browser can now be browsed and loaded from their respective publication pages. For an example, see Atkinson et al. (2018). Data tracks are now also downloadable from the publication pages.

Unique permanent URLs for search results

All result pages from the Advanced search now have a unique permanent URL that can be bookmarked and shared with your colleagues.

The QuiLT and GO slim pages also now have permanent URLs.

New vectors for simple, reliable S. pombe molecular biology

To enable fission yeast researchers to manipulate S. pombe molecular biology reproducibly and easily, Aleks Vještica and Magdalena Marek in Sophie Martin’s lab have designed and constructed a series of simple, fully characterized plasmids.

The Stable Integration Vector (SIV) series provides a highly modular toolbox to introduce heterologous sequences more stably was possible with than previously available vectors. The toolkit includes antibiotic resistance markers, promoters, fluorescent tags, and terminators, as well as large set of ready-to-use fluorescent probes to mark organelles and visualize cellular processes.

The work is published in the Journal of Cell Science, and a PomBase publication page is available.

PomBase is now an ELIXIR Node Service

PomBase has been awarded Node Service status by the UK node of ELIXIR. ELIXIR-UK Node Services support the bioinformatics and broader biological research communities by providing training and resources that help researchers to find and share data, exchange expertise, and agree on best practices at national, European and international levels. The review panel describes PomBase as a “mature, leading model organism database which is popular, unique, well used, and has a strong user community.”

Levures, Modèles et Outils 14th International Conference

The 14th edition of the “Levures, Modèles et Outils” meeting (LMO14) will be held in July 9-11, 2020, at the University of Strasbourg in France. Registration is open February 3rd to June 30th, and abstracts can be submitted from February 3rd to April 10th. Authors will be notified in early May and the final program will be available in early June.

The sessions will be diverse and present the latest findings using yeast as a model organism on the following topics:

  1. Cell biology, cell cycle, cytoskeleton
  2. Gene expression regulation
  3. Population, functional and evolutionary genomics
  4. Replication, repair and recombination
  5. Transport, sensing and signaling
  6. Pathogenic yeast and filamentous fungi
  7. Tools, resources and databases
  8. New technologies, yeast and industry

Query phenotypes for conditions

The PomBase advanced search Advanced search now supports using experimental conditions as search criteria for phenotype annotations. For example, you can now query for genes that show abnormal chromosome segregation mutant phenotypes specifically at high or low temperatures. The search uses the same condition descriptors as Canto and the PomBase web pages.

Note that phenotype queries that have condition constraints can be combined, but pay careful attention to the annotations for the results. Future work will add support for querying for multiple conditions on the same annotation, and for specifying conditions to exclude from results.

A quarter of a million annotations

PomBase recently reached 250,000 annotations to controlled vocabularies and ontologies. The majority (over 90%) are assigned manually from fission yeast experimental data derived from 3776 publications, most of which report low-throughput, hypothesis-driven experiments.

You can query and combine any of these data types in the Advanced search.

Thank you to everyone who contributed to this significant achievement through community curation.

Community curation response rate reaches 50%

789/1587 publications assigned to community members for curation are finished. A big thank you to everyone who has participated so far. For more details, and all our curation metrics, see https://curation.pombase.org/pombe/stats/annotation

PomBase now uses InterPro Version 77.0

PomBase now uses InterPro Version 77.0, which integrates 145 new methods from the CATH-Gene3D (134), and SUPERFAMILY (11) databases. InterPro cites 59894 publications in PubMed. See the InterPro release notes for further information.

AnGeLi update

AnGeLi (developed by Danny Bitton) is a tool that allows you to perform enrichments over gene lists.

AnGeLi has recently been updated to provide 9320 lists, including ontology-based annotations from PomBase (as of 2020-03-04) as well as many additional datasets from the Bähler laboratory.

New search result download options

The PomBase Advanced search has added new options to the data you can download for your query results:

  • All physical interactors of a gene product
  • Deletion viability
  • Protein length

PombeTalks start on April 29th

The first in the new series of online PombeTalks will take place on Wednesday 29 April 2020 at 17:00 Central European Time. Speakers:

  • Aleksandar Vjeṧtica, Sophie Martin’s lab, University of Lausanne: Cycling for reproductive fidelity: Coupling the cell cycle and re-fertilisation blocks ensures ploidy maintenance during sexual lifecycle

  • Haitong Hou, Julia Cooper’s lab, NCI & University of Colorado: Centromeres are dismantled by foundational meiotic proteins Spo11 and Rec8

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also mark your calendars for the next two sessions on May 13 and May 27, and if you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

Midori Harris receives 2020 Biocuration Career Award

Midori Harris, ontology developer and curator at PomBase, has been awarded the 2020 Biocuration Career Award.

Congratulations to Midori and a huge thanks for all that you do for PomBase.

Mitochondrial genome update

The mitochondrial genome sequence in PomBase has been updated to reflect corrections made in Tao et al. (2019) “Intraspecific Diversity of Fission Yeast Mitochondrial Genomes”.

PomBase now uses InterPro Version 79.0

PomBase now uses InterPro Version 79.0, which integrates:

  • 128 new InterPro entries
  • An update to PIRSF [3.10]
  • 151 new methods from the SUPERFAMILY (4), CATH-Gene3D (6), PIRSF (9), PANTHER (106), and CDD (26) databases.

InterPro cites 48466 publications in PubMed. See the InterPro release notes for further information.

Chromatin silencing ontology & annotation overhaul

PomBase curators have collaborated with the GO Consortium to improve the representation of chromatin silencing and the underlying heterochromatin organization processes in the GO biological process ontology and annotations.

Notably, “chromatin silencing” terms have been removed from GO on the grounds that they conflated various heterochromatin assembly, formation, and maintenance pathways with processes that affect chromatin-mediated repression more indirectly (e.g. tethering to the nuclear envelope). Chromatin silencing is a phenotype resulting from the cumulative effects of these processes, and the Fission Yeast Phenotype Ontology (FYPO) accordingly retains a full suite of “chromatin silencing” terms.

Annotations using the GO chromatin silencing terms were reviewed, and either removed or reannotated based on what could be inferred from the phenotypes, resulting in a substantially revised set of heterochromatin assembly annotations. Further work is required, so please send us any corrections.

PombeTalks May 13th

The next online PombeTalks will take place on Wednesday 13 May 2020 at 17:00 Central European Time. Speakers:

  • Sarah Lambert, Institut Curie, Paris, France: Resolution of replication stress in space and time for maintaining genome stability

  • Cornelia Kilchert, Justus-Liebig-University, Giessen, Germany: RNA-binding proteins in fission yeast - a global perspective

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also mark your calendars for the next two sessions on May 27 and June 10, and if you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

Published: Community curation in PomBase

The PomBase team has published an overview of our experience with community curation for fission yeast. In the article, out this week in Database, we reflect on the factors that have made our community’s remarkable, standard-setting achievements possible, and on the benefits we and PomBase users derive from this effort. We highlight the collaboration between authors and professional curators that arises via community curation, and how annotation quality improves as a result.

Watch for invitations to curate your new papers, or see our community curation page for more information.

Improved gene-disease curation

PomBase disease gene curation associates disease descriptors with fission yeast orthologs of human disease-causing genes. We have now increased coverage by adding new gene–disease term connections, with 3954 individual annotations to 1195 genes (up from 2588 and 905 respectively in January 2019). Disease associations now cover 24.5% of all fission yeast protein-coding genes, and over one third of those with human orthologs.

PomBase adopts MONDO for disease gene curation

PomBase has switched from the Disease Ontology (DO) to the Monarch Initiative’s Mondo Disease Ontology (Mondo) for disease gene curation. Mondo covers the same set of disease descriptions as DO, but has a richer hierarchical structure that classifies more specific descriptions into broad categories (e.g. anemia, cancer, kidney disease) suitable for a disease “slim” term set.

PomBase curators are collaborating with Mondo to improve its disease classification, especially in areas that will support inferences that improve fission yeast disease annotation coverage in the new PomBase Mondo slim. The new disease slim is a work in progress, so if there is a particular disease grouping that you would find useful, please let us know.

New ontology slimming options for advanced search results

The PomBase advanced search results panel now allows you to retrieve annotations to any of the fission yeast GO slims or the Mondo disease slim for genes in the results list. For example, you can query for all genes involved in a process and slim the resulting list by molecular function or disease association.

New fission yeast GO slims

To complement the overview provided by the fission yeast GO biological process slim, we have created GO slims for the molecular function and cellular component branches of GO. Each slim page provides links to ontology term pages, annotated genes, and to download files containing the slim terms and IDs.

PombeTalks May 27th

The next online PombeTalks will take place on Wednesday 27 May 2020 at 17:00 Central European Time. This time, in addition to the usual pair of research talks, our own Val Wood will show a few of PomBase’s lesser-known features.

  • Angad Garg, Stewart Schuman’s lab, Memorial Sloan Kettering Cancer Center: Long non-coding RNA control of phosphate homeostasis

  • José López Hernández, Sarah Zander’s lab, Stowers Institute for Medical Research: Diverse mating strategies in S. pombe affect the spread of wtf meiotic drivers

  • Val Wood, PomBase: Hidden corners of PomBase: Ten features you might not have seen

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also mark your calendars for the next two sessions on and June 10 and 24, and if you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

PombeTalks POSTPONED to June 17th

Please note that the next online PombeTalks will take place one week later than originally planned, to support the STEM Strike for Black Lives on 10th June.

In the meantime, please complete this brief survey of the audience.

On Wednesday 17th June 2020 at 17:00 Central European Time, the speakers will be:

  • Gautam Dey, Baum lab, UCL / EMBL Heidelberg: Closed mitosis requires local disassembly of the nuclear envelope

  • Meredith Betterton, UC Boulder: Computational modeling of fission yeast mitosis: what we can learn about pombe from computer simulations

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. The next two sessions will b on June 27 and July 8. If you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

Editable PomBase query names

Entries in the PomBase advanced search query history now show brief, user-editable query descriptions, and a toggle to show or hide additional details.

PombeTalks June 24th

The next online PombeTalks will take place on Wednesday 24th June 2020 at 17:00 Central European Time:

  • Sito Torres-Garcia, Allshire lab, University of Edinburgh: Epigenetic gene silencing by heterochromatin primes fungal resistance

  • Julie Rich-Robinson, Das lab, University of Tennessee: Cell-cycle-dependent cues temporally regulate Cdc42 activity at growth sites in fission yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up.

A schedule is now available for the rest of the summer, including the next talks on July 8th. If you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

PombeTalks July 8th

The next online PombeTalks will take place on Wednesday 8th July 2020 at 17:00 Central European Time:

  • Sahana Holla, Grewal lab, NIH: Positioning heterochromatin at the nuclear periphery promotes epigenetic inheritance

  • Nick Rhind, UMass Medical School: Cell size is controlled by size-dependent expression of mitotic activators

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on July 22nd, and the summer schedule is available. If you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

PombeTalks July 22nd

The next online PombeTalks will take place on Wednesday 22nd July 2020 at 17:00 Central European Time:

  • Prof. Dr. Ann Ehrenhofer-Murray, Institut für Biologie, Humboldt-Universität zu Berlin: Queuosine and m5c modification of RNA: Nutritional control of translation in S. pombe homestasis

  • Dr. Sarah Sabatinos, Department of Chemistry and Biology, Ryerson University: Long-term effects of surviving replication instability

  • PomBase microPublications announcement (Midori Harris)

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on August 5, and the summer schedule is available. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

Fission yeast microPublications

PomBase has recently joined microPublication.org, which “publishes brief, novel findings, negative and/or reproduced results, and results which may lack a broader scientific narrative”, as a Partner Database. Fission yeast researchers can thus now make any results available to the community, even those that don’t fit neatly into traditional publications.

Visit the microPublications website to learn more, to register and submit your data, or sign up to review. Send questions to the PomBase helpdesk.

PombeTalks August 5th

The next online PombeTalks will take place on Wednesday 5th August 2020 at 17:00 Central European Time:

  • Feng Li, Levin Lab NICHD/NIH, USA: Identification of an integrase-independent pathway of retrotransposition

  • Ivan Surovtsev, King lab, Yale University, USA: Liquid-liquid phase separation, heterochromatin domains and nuclear mechanics

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on August 19, and the summer schedule is available. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks August 19th

The next online PombeTalks will take place on Wednesday 19th August 2020 at 17:00 Central European Time:

  • Joe Magliozzi, Moseley Lab, Dartmouth: Cell polarity kinases regulate RNA-binding protein Sts5 to control cell shape

  • Ramakanth Neeli, Minc Lab, Institute Jacques Monod: Mechanisms and Functions of Cell Wall Mechanosensing in Fission Yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on September 2, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

11th Pombe meeting postponed to 2022

Due to the ongoing Covid-19 pandemic, the 11th International Fission Yeast Meeting, due to take place in Hiroshima, Japan, has been postponed.

The new dates will be 12th (Sun -17th (Fri) June, 2022.

Please see the conference website and pombelist for further announcements.

PombeTalks September 2nd

The next online PombeTalks will take place on Wednesday 2nd September 2020 at 17:00 Central European Time:

  • François Bachand, USherbrooke, Canada: Proximity-dependent biotinylation assays in fission yeast and a tale about slow RNA polymerase II transcription

  • Scott Curran, Nurse Lab, The Crick Institute, UK: A quantitative and spatial analysis of the cell cycle control network

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on September 16, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

Published: GO Term Matrix for annotation QC

In collaboration with the GO Consortium, the PomBase team has published a report on the Term Matrix approach to GO annotation quality control. The article, out this week in Open Biology, describes biological processes that do, or don’t, share annotated gene products, and how we use co-annotation patterns to build rules to detect, correct, and prevent errors.

Submit your genome browser data

We have updated our HTP data submission procedure to make it easier for you to contribute your datasets for PomBase JBrowse:

We now provide spreadsheet templates in Excel and Open Document formats that gather the metadata we need to load and display your data. You can download a template from the documentation page on HTP data submission. Send completed spreadsheets to the PomBase helpdesk.

New genome browser datasets 2020-09-08

Three new datasets in are now available in PomBase JBrowse (links go to PomBase publication pages, which in turn link to the browser with the tracks enabled):

  • Transcription start sites from
    Li H, Hou J, Bai L, Hu C, Tong P, Kang Y, Zhao X, Shao Z. 2015.
    Genome-wide analysis of core promoter structures in Schizosaccharomyces pombe with DeepCAGE.
    PMID:25747261 DOI:10.1080/15476286.2015.1022704

  • Transcript data from
    Eser P, Wachutka L, Maier KC, Demel C, Boroni M, Iyer S, Cramer P, Gagneur J. 2016
    Determinants of RNA metabolism in the Schizosaccharomyces pombe genome.
    PMID:26883383 DOI:10.15252/msb.20156526

  • Transposon insertion sites from
    Lee SY, Hung S, Esnault C, Pathak R, Johnson KR, Bankole O, Yamashita A, Zhang H Levin HL.
    Dense Transposon Integration Reveals Essential Cleavage and Polyadenylation Factors Promote Heterochromatin Formation.
    PMID:32101745 DOI:10.1016/j.celrep.2020.01.094

New dataset: Hermes transposon insertions

PomBase now hosts transposon integration data from Lee et al. 2020. Henry Levin explains the background and significance of the work:

“Transposon Integration Sequencing is a genome wide method of mapping sequences that contribute to growth. High throughput sequencing of transposon integration sites in haploid cells with single insertions reveals which genes are dispensable. Once propagated, cultures exhibit a pronounced lack of insertions in genes necessary for growth. This method, originally developed to study bacteria is now used to characterize the genomes of several yeasts including S. pombe. In earlier work we used the transposon Hermes to identify genes of S. pombe required for growth (Guo et al., 2013, Genetics, PMID:23893486). We have now applied Hermes and Transposon Integration Sequencing to identify genes important for the formation of heterochromatin (Lee et al., 2020, Cell Reports, PMID:32101745). Insertion sites from eight independent cultures can be visualized from PomBase as custom tracks on Jbrowse. Four cultures were of cells with ura4 silenced by cen1 heterochromatin. The other four cultures were of a strain without ura4. By passaging the cultures in 5-FOA we selected against cells with defects in heterochromatin. Genes that contributed to the formation of heterochromatin exhibited fewer insertions in cells with the cen1 copy of ura4 relative to the strain lacking ura4. To distinguish genes critical for heterochromatin from genes that contribute to a lesser extent we passaged cultures in 5-FOA for 5 generations and for 80 generations. While viewing these integration sites can indicate whether genes of interest contribute to heterochromatin formation you can also examine insertions in the cultures lacking ura4 to gage whether specific genes or noncoding sequences make significant contributions to growth.”

PombeTalks September 16th

The next online PombeTalks will take place on Wednesday 16th September 2020 at 17:00 Central European Time:

  • Susan Forsburg, University of Southern California: Visualizing replication stress

  • Sigurd Braun, Ludwig-Maximilians-Universität, München: Gene repression at the nuclear membrane: Multifaceted roles of Lem2

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on September 30, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

New genome browser datasets 2020-09-17

Two new datasets in are now available in PomBase JBrowse (links go to PomBase publication pages, which in turn link to the browser with the tracks enabled):

  • Meiotic DSBs from
    Fowler KR, Gutiérrez-Velasco S, Martín-Castellanos C, Smith GR. 2013.
    Protein determinants of meiotic DNA break hot spots.
    PMID:25747261 DOI: 10.1016/j.molcel.2013.01.008

and

  • Time-lapse single-cell transcripts for dormancy breaking from
    Tsuyuzaki H, Hosokawa M, Arikawa K, Yoda T, Okada N, Takeyama H, Sato. 2020.
    Time-lapse single-cell transcriptomics reveals modulation of histone H3 for dormancy breaking in fission yeast.
    PMID:32152323 DOI: 10.1016/j.molcel.2013.01.008

More datasets are always welcome, so check out our instructions for submission.

PombeTalks September 30th

The next online PombeTalks will take place on Wednesday 16th September 2020 at 17:00 Central European Time:

  • Alexander Lorenz, University of Aberdeen, UK: Meiotic recombination outcome in the face of genetic diversity

  • Veneta Gerganova, Martin Lab, UNIL, Switzerland: Patterning of membrane-associated proteins through membrane flows

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on October 14, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks October 14th

The next online PombeTalks will take place on Wednesday 14th October 2020 at 17:00 Central European Time:

  • Dimitrios Vavylonis, Lehigh University: Modeling fission yeast’s polarization pattern

  • Chloe Snider, Gould Lab, Vanderbilt University: Opposite surfaces of the Cdc15 F-BAR domain create a membrane platform that coordinates cytoskeletal and signaling components for cytokinesis

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on October 28, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks October 28th

The next online PombeTalks will take place on Wednesday 28th October 2020 at 17:00 Central European Time:

  • Omaya Dudin, EPFL, Switzerland: Cellularization of Ichthyosporean coenocytes

  • Bassem Al-Sady, UCSF, USA: Single cell analysis of the heterochromatin spreading reaction

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on November 11, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

GO annotations from PAINT

PomBase now includes over 3000 GO annotations made using Phylogenetic Annotation and INference Tool (PAINT), developed by the GO Consortium to infer protein function in a phylogenetic context, supporting precise assertions as to when functions were gained and lost during evolution. PAINT annotations use the evidence code “inferred from biological aspect of ancestor” (IBA). PAINT curation is described in more detail in Gaudet et al. 2011.

PombeTalks November 11th

The next online PombeTalks will take place on Wednesday 11th November 2020 at 17:00 Central European Time:

  • Farnaz Mansouri, Mark Bayfield lab (York University, Toronto): The uncharacterized S. pombe La-related protein 1 functions in translation and affects RNA abundance

  • Saz Basu, Paul Nurse lab (Francis Crick Institute, London): Unmasking the mitotic potential of G1/S Cyclin-CDK

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on November 25. PombeTalks will then take a break, and return in early 2021. The schedule is available, and you are always welcome to fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks November 25th

The last online PombeTalks for 2020 will take place on Wednesday 25th November 2020 at 17:00 Central European Time:

  • I-Ju Lee, David Pellman’s Lab, Dana-Farber Cancer Institute: Factors promoting nuclear envelope assembly independent of the canonical ESCRT pathway

  • Ulrike Endesfelder, Carnegie Mellon University: TBC

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

After these talks, PombeTalks will take a well-earned break, and return in early 2021. The schedule is available, and you are always welcome to fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

First S. pombe microPublication goes live

The first fission yeast microPublication has now been published:

Nafees Ahamad, Simmi Anjum, Shakil Ahmed\ Pyrogallol induces oxidative stress defects in the fission yeast S. pombe.

Congratulations to the authors, and thanks to the microPublication team!

PomBase now uses InterPro Version 83.0

PomBase now uses InterPro Version 83.0, which integrates:

  • 376 new InterPro entries
  • An update to HAMAP [2020_05], CDD [3.18]
  • 462 new methods from the SMART (2), TIGRFAMs (2), Pfam (3), PANTHER (140), HAMAP (19), CDD (286), SFLD (10) databases

InterPro cites 50487 publications in PubMed. See the InterPro release notes for further information.

PomBase identifier mapper now available

We have developed an identifier mapper that retrieves S. pombe gene systematic IDs and standard names for a selection of different input ID types. You can now find S. pombe genes using UniProt accessions, and retrieve manually curated orthologs for S. cerevisiae using standard gene names or ORF names, and for human using standard gene names or HGNC identifiers.

Try the identifier mapper or check out the documentation.

PombeTalks return March 3rd

The new season of online PombeTalks for 2021 will begin on Wednesday 3rd March 2021 at 17:00 Central European Time:

  • Maria Rodriguez Lopez, Bähler lab, UCL: Clr6 orchestrates transcriptional switches to regulate metabolism during oxidative stress

  • Olivia Muriel-Lopez, Martin lab, University of Lausanne: ’Ultrastructural plasma membrane asymmetries underlie cell-cell fusion in S. pombe*

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will resume its fortnightly schedule, so watch this space, pombelist, or PombeSlack for updates. As in the past, you are always welcome to fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks March 17th - new time!

The new season of online PombeTalks for 2021 will begin on Wednesday 3rd March 2021, at a different time: 9:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Yasuto Murayama, National Institute of Genetics, Shizuoka: Biochemical analysis of the fission yeast structural maintenance of chromosomes complex

  • Ken Ishikawa, Kurume University, Kurume: dCas9-mediated CRISPRi for S. pombe

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the new Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks March 31st

The next online PombeTalks will take place on Wednesday 31st March 2021, at 17:00 Central European Time:

  • Udo Onwubiko, Das lab, University of Tennessee: Cdc42 prevents early Rho1 activation during cytokinesis

  • Chunmin Shan, Jia lab, Columbia University: The INO80 complex regulates epigenetic inheritance of heterochromatin

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the new Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

New protein feature display

PomBase has released a new, interactive display for protein features on gene pages. The new view is clearer, with details for each feature available via mouseover as well as in the accompanying table.

In addition, PomBase now uses InterPro Version 84.0, which includes 205 new entries and integrates 252 new methods from the Pfam, PANTHER, and CDD databases. See the InterPro release notes for further information.

New genome browser data: GC content

A data track showing the fraction of G/C bases in a region is now available in PomBase JBrowse, listed under “Base composition”. The track is generated using the gccontent plugin, and uses a default window of 100 bp.

Qualitative gene expression annotation in Canto

Canto, PomBase’s online curation tool, now supports qualitative gene expression annotation. Two new annotation types are available to represent observations about the levels of RNA or protein observed in wild-type cells, and how they change over the cell cycle or in response to a stimulus. See the Canto documentation for more information. We have also updated the display of qualitative gene expression on PomBase gene and publication pages.

PombeTalks April 14th

The next online PombeTalks will take place on Wednesday 14th April 2021, at 17:00 Central European Time:

  • Pabitra Parua,�Fisher�lab,�Icahn School of Medicine at Mount Sinai: Control of the RNA polymerase II transcription cycle by CDK-phosphatase switches

  • Ye Dee Tay, Sawin Lab,�University of�Edinburgh: Gef1: the first aider of Cdc42 polarity module during stress

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the new Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PomBase now uses InterPro Version 85.0

PomBase now uses InterPro Version 85.0, which integrates:

  • 157 new InterPro entries
  • An update to CATH-Gene3D [4.3.0]
  • 333 new methods from the Pfam (3), SUPERFAMILY (11), CATH-Gene3D (168), PANTHER (88), CDD (62), SFLD (1) databases

InterPro cites 51539 publications in PubMed. See the InterPro release notes for further information.

PombeTalks April 28th

The next online PombeTalks will take place on Wednesday 28th April 2021, at 10:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Tomoyuki Fukuda, Niigata University Graduate School of Medical and Dental Sciences: Atg43 serves as a selective autophagy receptor to promote mitophagy

  • Xiao-Ran Zhang, NIBS, Beijing, China: An improved auxin-inducible degron system for fission yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

New diploid genotype & phenotype display

PomBase now includes pages for curated diploid genotypes, and displays phenotypes annotated to them on gene and publication pages. For more details see the documentation for phenotype annotations and genotype pages.

PombeTalks May 12th

The next online PombeTalks will take place on Wednesday 12th May 2021, at 17:00 Central European Time. Speakers:

  • Sierra Cullati, Gould lab, Vanderbilt University: Autophosphorylation of the CK1 Kinase Domain Regulates Enzyme Activity and Substrate Specificity

  • Stephen Huisman, Brunner Lab, University of Zurich: Vip1, a temperature-dependent filament forming protein involved in cell length regulation

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks May 26th

The next online PombeTalks will take place on Wednesday 26th May 2021, at 17:00 Central European Time. Speakers:

  • Mélina Vaurs (Vincent Géli & Stéphane Coulon labs - Cancer Research Center, Marseille): Shelterin-dependent telomerase regulation differs between quiescent and vegetative cells

  • Arthur Molines (Fred Chang lab – UCSF): Physical properties of the cytoplasm modulate microtubule dynamics

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks June 9th

The next online PombeTalks will take place on Wednesday 9th June 2021, at 10:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Yusuke Toyoda, Saitoh lab, Kurume University: Nitrogen-dependent persistence of S. pombe Ght5 glucose transporter on the cell surface is effected by TORC2 inhibition of α-arrestin Aly3

  • Anupa T. Anil, Mishra lab, IISER Mohali: How does spliceosome capture branchpoint-distant 3’ splice site?

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

Violin plots for gene expression

The “Quantitative gene expression” section of PomBase gene pages now offers a display of violin plots to visualize where the gene appears in available expression datasets.

Violin plots are also available to visualize sets of up to 150 genes in the advanced search results.

At present data from Marguerat S et al. (2012) and Carpy A et al. (2014) are included.

PombeTalks June 23rd

The next online PombeTalks will take place on Wednesday 23rd June 2021, at 17:00 Central European Time. Speakers:

  • Yi Wei, Grewal lab, NCI CCR, Bethesda: TOR targets an RNA processing network to regulate cell proliferation and sexual development

  • Nicholas Ader, LusKing Lab, Yale School of Medicine: I open at the close(d mitosis): Investigating post-mitotic nuclear envelope sealing in fission yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PomBase now uses InterPro Version 86.0

PomBase now uses InterPro Version 86.0, which integrates:

  • 299 new InterPro entries
  • An update to PROSITE patterns [2021_01] and PROSITE profiles [2021_01]
  • 454 new methods from the PROSITE profiles (39), SMART (2), Pfam (7), SUPERFAMILY (3), CATH-Gene3D (80), PANTHER (295), CDD (27), SFLD (1) databases.

InterPro cites 52235 publications in PubMed. See the InterPro release notes for further information.

PombeTalks July 7th

The next online PombeTalks will take place on Wednesday 7th July 2021, at 17:00 Central European Time. Speakers:

  • Debatrayee Sinha, Qian Chen lab, University of Toledo: Fission yeast polycystin Pkd2p promotes resumption of cell growth after cytokinesis

  • Joël Lemière, Fred Chang Lab, UCSF: The role of osmotic forces in nuclear size control

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PomBase gene pages now have links to pathway entries in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, as well as links to gene lists for each linked pathway (example: 2-Oxocarboxylic acid metabolism). The KEGG pathway links are the first entry in a new gene page section, “Molecular pathway”, dedicated to connecting genes in PomBase to depictions of biochemical and signaling pathways.

PombeTalks July 21st

The next online PombeTalks will take place on Wednesday 21st July 2021, at 10:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Yoko Otsubo, Yamashita lab, National Institute for Basic Biology: Novel links between TORC1 and traditional non-coding RNA, tRNA

  • Jie Su, Nakagawa lab, Osaka University: Rad8-dependent PCNA ubiquitination at lysine 107 causes gross chromosomal rearrangements

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PomBase gene pages now have links to the AlphaFold Protein Structure Database, the collection of structures predicted by AI developed by DeepMind, hosted at EBI. Look in the “External references” section of your favorite gene page, or check out this example (pap1), or read more at the EBI AlphaFold home.

PombeTalks August 4th

The next online PombeTalks will take place on Wednesday 4th August 2021, at 17:00 Central European Time. Speakers:

  • Tiffany Mak, Nurse lab, The Francis Crick Institute: The TOR-dependant phosphoproteome and regulation of cellular protein synthesis

  • Weifang Wu, Allshire lab, University of Edinburgh: Spatial organisation of the nucleus influences centromere identity

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

After these talks, PombeTalks will take a break for the rest of the summer, so watch this space, pombelist, or PombeSlack for updates. In the meantime, you can fill out this form at any time if you’re interested in speaking.

Improved gene-disease curation: over 1400 S. pombe genes

PomBase disease gene curation associates disease descriptors with fission yeast orthologs of human disease-causing genes. We have added new gene–disease term connections, to bring the total to 1401 S. pombe genes. Disease associations now cover 27.3% of all fission yeast protein-coding genes, and almost 40% with human orthologs.

JaponicusDB: a new fission yeast database

We are delighted to announce the official release of PomBase’s new sister: JaponicusDB is a new, curated model organism database for the fission yeast Schizosaccharomyces japonicus. JaponicusDB highlights include revised gene structures, distant ortholog detection, improved GO annotation, community literature curation, and reciprocal gene page links with PomBase, providing a familiar environment for all fission yeast researchers.

The S. japonicus community will maintain JaponicusDB from now on. Join the new mailing list, and follow @japonicusdb on Twitter.

PomBase & JaponicusDB preprints

Papers describing PomBase and JaponicusDB will appear in an issue of GENETICS devoted to model organism database (MOD) reports. The MOD papers will highlight the journal’s new section on Computational Resources, Software & Databases.

Follow the links to the PomBase preprint and JaponicusDB preprint, and watch for the full-fledged publications to appear in March 2022.

Coils, disorder, and more: new protein feature queries

The PomBase advanced search now allows you to find proteins that have coiled-coil regions, disordered regions, and low-complexity regions. The query-building interface also now organises query options more sensibly, and the documentation has been updated.

PomBase now uses InterPro Version 87.0

PomBase now uses InterPro Version 87.0, which integrates:

  • 1,155 new InterPro entries
  • Update to Pfam 34.0
  • 1,256 new methods

Improved options for filtering annotations by cell cycle phase

The Gene Ontology annotation filter for “during” specific cell cycle phases is now included on the “Summary” view in addition to the “Details” view. Available phases have been extended to cover all phases used, and to provide
useful grouping terms. This filter is “ontology aware” (i.e. a search on interphase will also display G1/S/G2 phase annotation). The phase filter is most useful on pages that display increasing volume of phase-specific curation (such as cdc2). The revised phase filter options are also available in the gene expression section.

The phase filters are located at the top right of GO and gene expression annotation sections:

During filter

PomBase & JaponicusDB publications in the GENETICS MOD reports special issue

Papers describing PomBase and JaponicusDB are now published (early online). These articles are part of a special issue of GENETICS devoted to model organism database (MOD) reports. The MOD papers will highlight the journal’s new section on Computational Resources, Software & Databases.

An additional 5775 novel curated lncRNAs from Atkinson et al.

We have added an additional 5775 novel curated lncRNAs from Atkinson et al. to PomBase. We will refine the descriptions of these gene products to align with Sequence Ontology (SO) terms describing RNA features in the coming months.

Thanks to María Rodríguez-López for preparing the files.

Publication page for PMID:29914874

TOR and nutritional phosphoproteome dataset loaded

We have loaded the TOR and nutritional phosphoproteome dataset described in Halova et al. (9424 annotations). Many thanks to Janni Petersen for preparing the files.

Publication page for PMID:33823663

PomBase now uses InterPro Version 88.0

PomBase now uses InterPro Version 88.0.

Features include:

  • The addition of 39 InterPro entries (40,071 total entries)
  • Integration of 45 new methods from the PRINTS (1), SMART (1), Pfam (2), SUPERFAMILY (7), CATH-Gene3D (14), PANTHER (13), CDD (7) databases

New human orthologs including 3 MRP complex subunits

We continue to identify distant human orthologs. Four new 1:1 human ortholog connections have been added to PomBase this week:

  • RNase MRP subunit Rmp1 = human NEPRO (family submitted to Pfam)
  • RNase P and RNase MRP subunit Pop23 = human RPP38 (members of the same Pfam clan)
  • RNase P and RNase MRP subunit Pop8 = human RPP14 (family submitted to Pfam)
  • glutamyl-tRNA amidotransferase complex subunit 3 (Gtf1) = human GATC

Human NEPRO is a poorly characterised protein linked to the disease Anauxetic dysplasia 3, and GATC is the causal gene for “combined oxidative phosphorylation deficiency 42”

The fission yeast community have now curated over 1000 publications

We would like to extend a huge “thank you” to the fission yeast community for curation contributions. The community have now curated 1008 publications providing 19,156 independent annotations, representing 25% of the curation from small-scale publications. In addition, another 80,000 annotations have been provided via the submission of HTP datasets.

Please contact us via the helpdesk if you would like to provide curation for your manuscript but don’t know how.

Links:

Making biological knowledge useful for humans and machines

A GENETICS special issue featuring model organism database updates is published today. This issue features the recent PomBase and JaponicusDB publications and is accompanied by an editorial “Making biological knowledge useful for humans and machines” co-authored by Val Wood, Paul Sternberg and Howard Lipshitz.

New phenotype slim

We have added a phenotype slim overview to complement those provided for disease association, biological process, molecular function and cellular component annotation. The purpose of the phenotype slim is to provide subsets of commonly used ‘broad’ phenotypic classes or annotation subsets that can provide a useful starting point for accessing phenotype lists. The phenotype slim page provides links to ontology term pages, annotated genes, and to download files containing the slim terms and IDs.

The phenotype slim has also been added to the PomBase advanced search results panel “Slim with” menu. For example, you can query for all genes involved in a GO process, another phenotype, or any other list, and “slim” the results using the “Phenotype slim” option to view categories of phenotypes assigned to the list.

PombeTalks May 18th

The next online pombeTalks will take place on May 18th. These are virtual seminars by and for the fission yeast community and friends.

08:00 San Francisco / 11:00 New York / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / 00:00 Tokyo

Talks this session:

  • Jennifer Porat, Bayfield Lab, York University: The methyl phosphate capping enzyme Bmc1/Bin3 is a stable component of the fission yeast telomerase holoenzyme
  • Ingrid Billault-Chaumartin, Martin Lab, UNIL: Fus1, the fusion focus formin

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks Wednesday June 15th

The next online pombeTalks will take place on Wednesday June 15th. These are virtual seminars by and for the fission yeast community and friends.

08:00 San Francisco / 11:00 New York / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / 00:00 Tokyo

Talks this session:

  • Elliott Chapman, Bayne Lab, University of Edinburgh
    “Separable roles for RNAi in regulation of transposable elements and viability in the fission yeast Schizosaccharomyces japonicus”
  • Fei Li, New York University
    “Phosphorylation-mediated Ccp1-Ndc80 switch at the N-terminus of CENP-T regulates kinetochore assembly in fission yeast”

Talks will be streamed live via Zoom. The link will be circulated via pombelist and pombeSlack one day in advance, so make sure you’ve signed up.

As before, questions will be posted to #pombetalks-qna on pombeSlack channel and recordings uploaded.

Next pombeTalks: Wednesday, July 20th

The next online pombeTalks will take place on Wednesday, July 20th. These talks are virtual seminars by and for the fission yeast community and friends.

0:00 San Francisco / 3:00 New York / 8:00 London / 9:00 Paris / 12:30 Delhi / 15:00 Beijing / 16:00 Tokyo.

Talks this session:

  • Leeba Ann Chacko, Ananthanarayanan Lab, University of New South Wales
    “Microtubules and mitochondria cooperate to ensure cell division symmetry, polarity and equipartitioning in fission yeast”
  • Dan Zhang, Temasek Life Sciences Laboratory, National University of Singapore
    “The cortical ER remodeling for actomyosin ring assembly”

Talks will be streamed live via Zoom. The link will be circulated via pombelist and pombeSlack one day in advance, so make sure you’ve signed up.

Next pombeTalks: Wednesday, August 17th

The next online pombeTalks will take place on Wednesday, August 17th. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco / 11:00 NY / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / midnight Tokyo

Talks this session:

  • Pranas Grigaitis, Vrije Universiteit Amsterdam
    “Prediction of metabolic strategies in Schizosaccharomyces pombe based on optimal resource allocation”
  • Abhishek Poddar, University of Toledo
    “Membrane stretching activates calcium-permeability of a putative channel Pkd2 during fission yeast cytokinesis”

As always, connection details will be sent the day of the talk. For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Protein sequence changes

78 protein have been shortened (at the N-term). This set includes 34 published proteins (Apl4, Brc1, Cdc48, Cdt1, Cho1, Cmb1, Cut2, Cut6, Cwf26, Dbr1, Dri1, Elo2, Eri1, Lsd2, Lys2, Med13, Naa38, Nup107, Nup82, Orc2, Pof10, Ppt1, Rec24, Rga2, Rmt3, Rns1, RRpn7, Sap145, Skb1, Snf5, Snt2, Spn3, Tpp2, Trm1, and Tup12). Allele description changes and modification position changes are pending.

Next pombeTalks: Wednesday, September 21st

The next online pombeTalks will take place on Wednesday, September 21st. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco / 11:00 NY / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / midnight Tokyo

Talks this session:

  • Manuel Lera Ramirez, PomBase / Tran Lab, Institute Curie “Microtubule rescue at midzone edges promotes overlap stability and prevents spindle collapse during anaphase B”

  • Hannah Opalko, Moseley lab, Dartmouth College “Mechanisms of spatial patterning of cell cycle regulator Cdr2”

Zoom details

Topic: PombeTalks S03E05 Zoom Meeting
Time: Sep 21, 2022 05:00 PM Paris
Meeting ID: 985 8572 1420
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

77 new disease gene associations

We have added 77 new disease-gene associations for 71 fission yeast human gene orthologs. These were identified using “PombeMine” to identify the disease genes curated by OMIM not annotated with an existing MONDO mapping. The number of human disease gene associations is currently 1471. Disease genes can be browsed via the disease slim set or from the MONDO root node term.

PombeMine: an InterMine instance for S. pombe

As part of an Elixir funded collaboration with the InterMine team we have created PombeMine. Gene lists can be sent directly from PomBase query results pages directly to Intermine (under the “export” tab), providing direct (2 click) access to GO and phenotype enrichment tools.

New to fission yeast? check out our quick start guide for new users

We have added a new page providing useful information for new fission yeast researchers:
Getting started with S.pombe and PomBase

Includes details of how to join the community mailing list and the Slack channel, links to useful tools and resources, information about fission yeast as a model organism, an overview of PomBase and more.

Next pombeTalks: Wednesday, October 19th

The next online pombeTalks will take place on Wednesday, October 19th. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco / 11:00 NY / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / midnight Tokyo

Talks this session:

  • Cecilia D’Alessio, University of Buenos Aires and CONICET
    “N-Glycosylation and glycoprotein folding in fission yeasts, a model to study human congenital disorders of glycosylation”

  • Jason Tanny, McGill University, Montreal
    “A novel transcriptional mechanism regulating the cellular response to replication stress”

Zoom details

Topic: PombeTalks S03E06 Zoom Meeting
Time: Oct 19, 2022 05:00 PM Paris
Meeting ID: 933 7072 6178
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Using AlphaFold models to discover distant human and budding yeast homologues

We collaborated with the Pfam group at the EBI to evaluate predictions generated from AlphaFold reciprocal best structure hits to identify potential distant orthologs. The Reciprocal Best Structure Hits (RBSH) approach provided 11 novel human homologues, including Pho86 -> NAT8 (ER acetyltransferase), Mug174 -> COIL (Coilin), Ach1 -> OXCT1 (succinyl-CoA:3-ketoacid coenzyme A transferase), SPAC1952.08c -> CREG1, imt1 -> A4GALT (Lactosylceramide 4-alpha-galactosyltransferase), Rtc5 -> MEAK7 (MTOR associated protein). A further 41 novel orthologs were predicted between S. pombe and S. cerevisiae which had fallen under the radar for all other methods used at PomBase. Most of the novel connections provided additional functional information, or supported existing knowledge for poorly characterised proteins. See supporting data tables S4 and S5 for the complete list of predictions included in PomBase. Article.

Next pombeTalks: Wednesday, November 16th

The next online pombeTalks will take place on Wednesday, November 16th. These talks are virtual seminars by and for the fission yeast community and friends.

Note that this session will happen earlier at:
midnight San Francisco; 03:00 NY; 08:00 London; 09:00 Paris; 13:30 Delhi, 16:00 Beijing; 17:00 Tokyo

Talks this session:

  • Wenfan Wei, University of Science and Technology of China
    “The Cdc42 GAP Rga6 promotes monopolar outgrowth of spores”

  • Gaowen Liu, Shenzhen Institute of Synthetic Biology
    “Fusion eciency evolution to the deletion of an essential mating gene Prm1”

Zoom details

Topic: PombeTalks S03E07 Zoom Meeting
Date: Nov 16, 2022
Time: midnight San Francisco; 03:00 NY; 08:00 London; 09:00 Paris; 13:30 Delhi, 16:00 Beijing; 17:00 Tokyo
Meeting ID: 932 8857 4852
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Genetic Interaction annotation model updated

We have recently implemented an improved way to annotate and display genetic interactions so they are linked to phenotype annotations and alleles.

Previously, our Genetic Interaction annotations only mentioned the interacting genes and the type of genetic interaction. For example, if a strain with genotype asp1-H397A has the phenotype decreased acid phosphatase activity affecting activity of pho1, but this phenotype is suppressed when rhn1 is deleted in that strain, we would annotate that the genes asp1 and rhn1 are part of a Phenotypic Suppression interaction.

GI old format

We continue to display interactions in this format by default (showing only genes and interaction type), but if you expand the annotation, you can view the associated genotypes and phenotypes.

GI new format

In the revised Canto interface, you can only annotate a genetic interaction from the double mutant phenotype annotation (by clicking on add.., as shown below).

GI annotation in Canto

Of course, genetic interactions predating this update are not linked to phenotypes or genotypes, but we are hoping to auto-annotate several of those. We will also prioritise for update any interactions where community curators have provided these details in an annotation comment. Finally, a big shoutout to Ana Sanchez and Angad Garg from the Shuman lab, for testing the new interface in numerous recently curated publications. The examples provided here are from Sanchez et al. 2019. Go read it and see the annotations in PomBase.

Best, The PomBase team

Querying by RNA length in the Advanced Search tool

You can now query the RNA length of genes (spliced or unspliced) under the “Transcripts and exons” query grouping in the Advanced search.

You can also add RNA sequence length as a field in tables downloaded from the query builder.

RNA length queries are available under the “Transcripts and exons” tab

Next PombeTalks: Wednesday, December 14th

The next online PombeTalks will take place on Wednesday, December 14th. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco; 11:00 NY; 16:00 London; 17:00 Paris; 20:30 Delhi, 23:00 Beijing; midnight Tokyo

This will be our last PombeTalks of 2022 before taking a winter break. The speaker will be:

  • Kristi E. Miller
    “The fission yeast cell size control system integrates pathways measuring cell surface area, volume and time”

It will be followed by some sum up/ feedback about PombeTalks from the organizing committee.

Survey

Please help us improve PombeTalks even more by taking this quick survey

Zoom details

Topic: PombeTalksS308 Zoom Meeting
Date: Dec 14th
Meeting ID: 975 0331 6190
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Global Core Biodata Resource status for PomBase

We are very pleased to announce that PomBase has been selected as one of the first Global Core Biodata Resource (GCBR) — a collection of 37 resources whose long term funding and sustainability is critical to life science and biomedical research worldwide. This accreditation recognizes PomBase as a primary knowledge base (adding value to data through expert curation) and as a crucial component of the research ecosystem. The candidate biodata resources were assessed against a series of rigorous criteria that included their scientific focus, the size and reach of their user communities, their quality of service, their governance, and their impact on global research.

Thank you to the entire community, especially the community curators who contribute regularly to our content, and our Scientific Advisory Board for their help and support.

For more information about the Global Biodata Coalition and PomBase’s new status, see the full press release.

Revised canonical 5’ UTRs

We have revised the curated 5’UTRs using Transcription Start Sites (TSS) data (in vegetative growth/ minimal media) from the Cap Analysis of Gene Expression (CAGE) data provided by Thodberg et al. All new gene structures were manually reviewed, around ~80 protein features had N-terminal coordinate revisions to align with TSS data.

AlphaFold protein structure on gene pages

AlphaFold protein structure are now embedded on the PomBase gene pages. We hope to embed the experimental structures from PDB in the near future.

Example from the mvp1 gene page

Experimental structures from PDB on gene pages

The experimental protein structures from PDB are now embedded on the PomBase gene pages using Mol*. For example: lsm7/SPCC285.12 gene page

If you select the “PDB structures” view on a gene page, experimental structures will set as your default. AlphaFold predictions will be shown for genes where an experimental structure are not available.

We now also display the structures on the associated publication page. For example: PMID:31010807 Garg et al.

To help locate proteins with experimental protein structures (currently 375), we have added a new query option to the “Advanced search”, currently under “commonly used queries”: “Proteins with PDB structures

PDB structures on the lsm7 gene page

Curation update - “nonsense mutation” merged into “partial amino acid deletion”

We have decided to merge the allele type “nonsense mutation” into “partial amino acid deletion”. This has mainly been driven by the fact that allele types that combine different variants require new types, such as “amino_acid_deletion_and_mutation”, “amino_acid_insertion_and_deletion”, etc. Otherwise, we would have ended up with many more types, and at the gene product level (which is what we describe in PomBase in phenotype interactions), both truncations are equivalent. In the next update, this allele type will not be available in Canto.

In any case, even if two alleles produce the same truncation, such as ase1-D13* or ase1Δ(13-731), they would still have separate entries in PomBase, and they may have different phenotypes. We are only assigning them the same allele type.

If for your analysis you need to make a distinction between the two using our allele dataset allele dataset, you can always check the “Allele description” field for the presence of the “*” character to tell whether an allele includes a nonsense mutation.

News archive

Curation update - “nonsense mutation” merged into “partial amino acid deletion”

2023-04-26

We have decided to merge the allele type “nonsense mutation” into “partial amino acid deletion”. This has mainly been driven by the fact that allele types that combine different variants require new types, such as “amino_acid_deletion_and_mutation”, “amino_acid_insertion_and_deletion”, etc. Otherwise, we would have ended up with many more types, and at the gene product level (which is what we describe in PomBase in phenotype interactions), both truncations are equivalent. In the next update, this allele type will not be available in Canto.

In any case, even if two alleles produce the same truncation, such as ase1-D13* or ase1Δ(13-731), they would still have separate entries in PomBase, and they may have different phenotypes. We are only assigning them the same allele type.

If for your analysis you need to make a distinction between the two using our allele dataset allele dataset, you can always check the “Allele description” field for the presence of the “*” character to tell whether an allele includes a nonsense mutation.

Experimental structures from PDB on gene pages

2023-02-22

The experimental protein structures from PDB are now embedded on the PomBase gene pages using Mol*. For example: lsm7/SPCC285.12 gene page

If you select the “PDB structures” view on a gene page, experimental structures will set as your default. AlphaFold predictions will be shown for genes where an experimental structure are not available.

We now also display the structures on the associated publication page. For example: PMID:31010807 Garg et al.

To help locate proteins with experimental protein structures (currently 375), we have added a new query option to the “Advanced search”, currently under “commonly used queries”: “Proteins with PDB structures

PDB structures on the lsm7 gene page

AlphaFold protein structure on gene pages

2023-02-02

AlphaFold protein structure are now embedded on the PomBase gene pages. We hope to embed the experimental structures from PDB in the near future.

Example from the mvp1 gene page

Revised canonical 5’ UTRs

2023-01-24

We have revised the curated 5’UTRs using Transcription Start Sites (TSS) data (in vegetative growth/ minimal media) from the Cap Analysis of Gene Expression (CAGE) data provided by Thodberg et al. All new gene structures were manually reviewed, around ~80 protein features had N-terminal coordinate revisions to align with TSS data.

Global Core Biodata Resource status for PomBase

2022-12-15

We are very pleased to announce that PomBase has been selected as one of the first Global Core Biodata Resource (GCBR) — a collection of 37 resources whose long term funding and sustainability is critical to life science and biomedical research worldwide. This accreditation recognizes PomBase as a primary knowledge base (adding value to data through expert curation) and as a crucial component of the research ecosystem. The candidate biodata resources were assessed against a series of rigorous criteria that included their scientific focus, the size and reach of their user communities, their quality of service, their governance, and their impact on global research.

Thank you to the entire community, especially the community curators who contribute regularly to our content, and our Scientific Advisory Board for their help and support.

For more information about the Global Biodata Coalition and PomBase’s new status, see the full press release.

Next PombeTalks: Wednesday, December 14th

2022-12-08

The next online PombeTalks will take place on Wednesday, December 14th. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco; 11:00 NY; 16:00 London; 17:00 Paris; 20:30 Delhi, 23:00 Beijing; midnight Tokyo

This will be our last PombeTalks of 2022 before taking a winter break. The speaker will be:

  • Kristi E. Miller
    “The fission yeast cell size control system integrates pathways measuring cell surface area, volume and time”

It will be followed by some sum up/ feedback about PombeTalks from the organizing committee.

Survey

Please help us improve PombeTalks even more by taking this quick survey

Zoom details

Topic: PombeTalksS308 Zoom Meeting
Date: Dec 14th
Meeting ID: 975 0331 6190
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Genetic Interaction annotation model updated

2022-11-29

We have recently implemented an improved way to annotate and display genetic interactions so they are linked to phenotype annotations and alleles.

Previously, our Genetic Interaction annotations only mentioned the interacting genes and the type of genetic interaction. For example, if a strain with genotype asp1-H397A has the phenotype decreased acid phosphatase activity affecting activity of pho1, but this phenotype is suppressed when rhn1 is deleted in that strain, we would annotate that the genes asp1 and rhn1 are part of a Phenotypic Suppression interaction.

GI old format

We continue to display interactions in this format by default (showing only genes and interaction type), but if you expand the annotation, you can view the associated genotypes and phenotypes.

GI new format

In the revised Canto interface, you can only annotate a genetic interaction from the double mutant phenotype annotation (by clicking on add.., as shown below).

GI annotation in Canto

Of course, genetic interactions predating this update are not linked to phenotypes or genotypes, but we are hoping to auto-annotate several of those. We will also prioritise for update any interactions where community curators have provided these details in an annotation comment. Finally, a big shoutout to Ana Sanchez and Angad Garg from the Shuman lab, for testing the new interface in numerous recently curated publications. The examples provided here are from Sanchez et al. 2019. Go read it and see the annotations in PomBase.

Best, The PomBase team

Next pombeTalks: Wednesday, November 16th

2022-11-11

The next online pombeTalks will take place on Wednesday, November 16th. These talks are virtual seminars by and for the fission yeast community and friends.

Note that this session will happen earlier at:
midnight San Francisco; 03:00 NY; 08:00 London; 09:00 Paris; 13:30 Delhi, 16:00 Beijing; 17:00 Tokyo

Talks this session:

  • Wenfan Wei, University of Science and Technology of China
    “The Cdc42 GAP Rga6 promotes monopolar outgrowth of spores”

  • Gaowen Liu, Shenzhen Institute of Synthetic Biology
    “Fusion eciency evolution to the deletion of an essential mating gene Prm1”

Zoom details

Topic: PombeTalks S03E07 Zoom Meeting
Date: Nov 16, 2022
Time: midnight San Francisco; 03:00 NY; 08:00 London; 09:00 Paris; 13:30 Delhi, 16:00 Beijing; 17:00 Tokyo
Meeting ID: 932 8857 4852
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Using AlphaFold models to discover distant human and budding yeast homologues

2022-10-14

We collaborated with the Pfam group at the EBI to evaluate predictions generated from AlphaFold reciprocal best structure hits to identify potential distant orthologs. The Reciprocal Best Structure Hits (RBSH) approach provided 11 novel human homologues, including Pho86 -> NAT8 (ER acetyltransferase), Mug174 -> COIL (Coilin), Ach1 -> OXCT1 (succinyl-CoA:3-ketoacid coenzyme A transferase), SPAC1952.08c -> CREG1, imt1 -> A4GALT (Lactosylceramide 4-alpha-galactosyltransferase), Rtc5 -> MEAK7 (MTOR associated protein). A further 41 novel orthologs were predicted between S. pombe and S. cerevisiae which had fallen under the radar for all other methods used at PomBase. Most of the novel connections provided additional functional information, or supported existing knowledge for poorly characterised proteins. See supporting data tables S4 and S5 for the complete list of predictions included in PomBase. Article.

Next pombeTalks: Wednesday, October 19th

2022-10-13

The next online pombeTalks will take place on Wednesday, October 19th. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco / 11:00 NY / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / midnight Tokyo

Talks this session:

  • Cecilia D’Alessio, University of Buenos Aires and CONICET
    “N-Glycosylation and glycoprotein folding in fission yeasts, a model to study human congenital disorders of glycosylation”

  • Jason Tanny, McGill University, Montreal
    “A novel transcriptional mechanism regulating the cellular response to replication stress”

Zoom details

Topic: PombeTalks S03E06 Zoom Meeting
Time: Oct 19, 2022 05:00 PM Paris
Meeting ID: 933 7072 6178
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

New to fission yeast? check out our quick start guide for new users

2022-10-13

We have added a new page providing useful information for new fission yeast researchers:
Getting started with S.pombe and PomBase

Includes details of how to join the community mailing list and the Slack channel, links to useful tools and resources, information about fission yeast as a model organism, an overview of PomBase and more.

77 new disease gene associations

2022-09-16

We have added 77 new disease-gene associations for 71 fission yeast human gene orthologs. These were identified using “PombeMine” to identify the disease genes curated by OMIM not annotated with an existing MONDO mapping. The number of human disease gene associations is currently 1471. Disease genes can be browsed via the disease slim set or from the MONDO root node term.

PombeMine: an InterMine instance for S. pombe

2022-09-16

As part of an Elixir funded collaboration with the InterMine team we have created PombeMine. Gene lists can be sent directly from PomBase query results pages directly to Intermine (under the “export” tab), providing direct (2 click) access to GO and phenotype enrichment tools.

Next pombeTalks: Wednesday, September 21st

2022-09-15

The next online pombeTalks will take place on Wednesday, September 21st. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco / 11:00 NY / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / midnight Tokyo

Talks this session:

  • Manuel Lera Ramirez, PomBase / Tran Lab, Institute Curie “Microtubule rescue at midzone edges promotes overlap stability and prevents spindle collapse during anaphase B”

  • Hannah Opalko, Moseley lab, Dartmouth College “Mechanisms of spatial patterning of cell cycle regulator Cdr2”

Zoom details

Topic: PombeTalks S03E05 Zoom Meeting
Time: Sep 21, 2022 05:00 PM Paris
Meeting ID: 985 8572 1420
Password: will be sent the day of the meeting

Slack

For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Protein sequence changes

2022-09-06

78 protein have been shortened (at the N-term). This set includes 34 published proteins (Apl4, Brc1, Cdc48, Cdt1, Cho1, Cmb1, Cut2, Cut6, Cwf26, Dbr1, Dri1, Elo2, Eri1, Lsd2, Lys2, Med13, Naa38, Nup107, Nup82, Orc2, Pof10, Ppt1, Rec24, Rga2, Rmt3, Rns1, RRpn7, Sap145, Skb1, Snf5, Snt2, Spn3, Tpp2, Trm1, and Tup12). Allele description changes and modification position changes are pending.

Next pombeTalks: Wednesday, August 17th

2022-08-13

The next online pombeTalks will take place on Wednesday, August 17th. These talks are virtual seminars by and for the fission yeast community and friends.

8:00 San Francisco / 11:00 NY / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / midnight Tokyo

Talks this session:

  • Pranas Grigaitis, Vrije Universiteit Amsterdam
    “Prediction of metabolic strategies in Schizosaccharomyces pombe based on optimal resource allocation”
  • Abhishek Poddar, University of Toledo
    “Membrane stretching activates calcium-permeability of a putative channel Pkd2 during fission yeast cytokinesis”

As always, connection details will be sent the day of the talk. For more fission yeast related topics and recordings of the talks, join pombeSlack, where additional questions can also be posted on the #pombetalks-qna channel.

Next pombeTalks: Wednesday, July 20th

2022-07-12

The next online pombeTalks will take place on Wednesday, July 20th. These talks are virtual seminars by and for the fission yeast community and friends.

0:00 San Francisco / 3:00 New York / 8:00 London / 9:00 Paris / 12:30 Delhi / 15:00 Beijing / 16:00 Tokyo.

Talks this session:

  • Leeba Ann Chacko, Ananthanarayanan Lab, University of New South Wales
    “Microtubules and mitochondria cooperate to ensure cell division symmetry, polarity and equipartitioning in fission yeast”
  • Dan Zhang, Temasek Life Sciences Laboratory, National University of Singapore
    “The cortical ER remodeling for actomyosin ring assembly”

Talks will be streamed live via Zoom. The link will be circulated via pombelist and pombeSlack one day in advance, so make sure you’ve signed up.

PombeTalks Wednesday June 15th

2022-06-14

The next online pombeTalks will take place on Wednesday June 15th. These are virtual seminars by and for the fission yeast community and friends.

08:00 San Francisco / 11:00 New York / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / 00:00 Tokyo

Talks this session:

  • Elliott Chapman, Bayne Lab, University of Edinburgh
    “Separable roles for RNAi in regulation of transposable elements and viability in the fission yeast Schizosaccharomyces japonicus”
  • Fei Li, New York University
    “Phosphorylation-mediated Ccp1-Ndc80 switch at the N-terminus of CENP-T regulates kinetochore assembly in fission yeast”

Talks will be streamed live via Zoom. The link will be circulated via pombelist and pombeSlack one day in advance, so make sure you’ve signed up.

As before, questions will be posted to #pombetalks-qna on pombeSlack channel and recordings uploaded.

PombeTalks May 18th

2022-05-05

The next online pombeTalks will take place on May 18th. These are virtual seminars by and for the fission yeast community and friends.

08:00 San Francisco / 11:00 New York / 16:00 London / 17:00 Paris / 20:30 Delhi / 23:00 Beijing / 00:00 Tokyo

Talks this session:

  • Jennifer Porat, Bayfield Lab, York University: The methyl phosphate capping enzyme Bmc1/Bin3 is a stable component of the fission yeast telomerase holoenzyme
  • Ingrid Billault-Chaumartin, Martin Lab, UNIL: Fus1, the fusion focus formin

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

New phenotype slim

2022-04-13

We have added a phenotype slim overview to complement those provided for disease association, biological process, molecular function and cellular component annotation. The purpose of the phenotype slim is to provide subsets of commonly used ‘broad’ phenotypic classes or annotation subsets that can provide a useful starting point for accessing phenotype lists. The phenotype slim page provides links to ontology term pages, annotated genes, and to download files containing the slim terms and IDs.

The phenotype slim has also been added to the PomBase advanced search results panel “Slim with” menu. For example, you can query for all genes involved in a GO process, another phenotype, or any other list, and “slim” the results using the “Phenotype slim” option to view categories of phenotypes assigned to the list.

Making biological knowledge useful for humans and machines

2022-04-04

A GENETICS special issue featuring model organism database updates is published today. This issue features the recent PomBase and JaponicusDB publications and is accompanied by an editorial “Making biological knowledge useful for humans and machines” co-authored by Val Wood, Paul Sternberg and Howard Lipshitz.

The fission yeast community have now curated over 1000 publications

2022-03-26

We would like to extend a huge “thank you” to the fission yeast community for curation contributions. The community have now curated 1008 publications providing 19,156 independent annotations, representing 25% of the curation from small-scale publications. In addition, another 80,000 annotations have been provided via the submission of HTP datasets.

Please contact us via the helpdesk if you would like to provide curation for your manuscript but don’t know how.

Links:

New human orthologs including 3 MRP complex subunits

2022-03-23

We continue to identify distant human orthologs. Four new 1:1 human ortholog connections have been added to PomBase this week:

  • RNase MRP subunit Rmp1 = human NEPRO (family submitted to Pfam)
  • RNase P and RNase MRP subunit Pop23 = human RPP38 (members of the same Pfam clan)
  • RNase P and RNase MRP subunit Pop8 = human RPP14 (family submitted to Pfam)
  • glutamyl-tRNA amidotransferase complex subunit 3 (Gtf1) = human GATC

Human NEPRO is a poorly characterised protein linked to the disease Anauxetic dysplasia 3, and GATC is the causal gene for “combined oxidative phosphorylation deficiency 42”

PomBase now uses InterPro Version 88.0

2022-03-12

PomBase now uses InterPro Version 88.0.

Features include:

  • The addition of 39 InterPro entries (40,071 total entries)
  • Integration of 45 new methods from the PRINTS (1), SMART (1), Pfam (2), SUPERFAMILY (7), CATH-Gene3D (14), PANTHER (13), CDD (7) databases

TOR and nutritional phosphoproteome dataset loaded

2022-03-11

We have loaded the TOR and nutritional phosphoproteome dataset described in Halova et al. (9424 annotations). Many thanks to Janni Petersen for preparing the files.

Publication page for PMID:33823663

An additional 5775 novel curated lncRNAs from Atkinson et al.

2022-03-10

We have added an additional 5775 novel curated lncRNAs from Atkinson et al. to PomBase. We will refine the descriptions of these gene products to align with Sequence Ontology (SO) terms describing RNA features in the coming months.

Thanks to María Rodríguez-López for preparing the files.

Publication page for PMID:29914874

PomBase & JaponicusDB publications in the GENETICS MOD reports special issue

2022-02-02

Papers describing PomBase and JaponicusDB are now published (early online). These articles are part of a special issue of GENETICS devoted to model organism database (MOD) reports. The MOD papers will highlight the journal’s new section on Computational Resources, Software & Databases.

Improved options for filtering annotations by cell cycle phase

2021-12-19

The Gene Ontology annotation filter for “during” specific cell cycle phases is now included on the “Summary” view in addition to the “Details” view. Available phases have been extended to cover all phases used, and to provide
useful grouping terms. This filter is “ontology aware” (i.e. a search on interphase will also display G1/S/G2 phase annotation). The phase filter is most useful on pages that display increasing volume of phase-specific curation (such as cdc2). The revised phase filter options are also available in the gene expression section.

The phase filters are located at the top right of GO and gene expression annotation sections:

During filter

PomBase now uses InterPro Version 87.0

2021-11-23

PomBase now uses InterPro Version 87.0, which integrates:

  • 1,155 new InterPro entries
  • Update to Pfam 34.0
  • 1,256 new methods

Coils, disorder, and more: new protein feature queries

2021-10-18

The PomBase advanced search now allows you to find proteins that have coiled-coil regions, disordered regions, and low-complexity regions. The query-building interface also now organises query options more sensibly, and the documentation has been updated.

PomBase & JaponicusDB preprints

2021-09-27

Papers describing PomBase and JaponicusDB will appear in an issue of GENETICS devoted to model organism database (MOD) reports. The MOD papers will highlight the journal’s new section on Computational Resources, Software & Databases.

Follow the links to the PomBase preprint and JaponicusDB preprint, and watch for the full-fledged publications to appear in March 2022.

JaponicusDB: a new fission yeast database

2021-09-01

We are delighted to announce the official release of PomBase’s new sister: JaponicusDB is a new, curated model organism database for the fission yeast Schizosaccharomyces japonicus. JaponicusDB highlights include revised gene structures, distant ortholog detection, improved GO annotation, community literature curation, and reciprocal gene page links with PomBase, providing a familiar environment for all fission yeast researchers.

The S. japonicus community will maintain JaponicusDB from now on. Join the new mailing list, and follow @japonicusdb on Twitter.

Improved gene-disease curation: over 1400 S. pombe genes

2021-08-06

PomBase disease gene curation associates disease descriptors with fission yeast orthologs of human disease-causing genes. We have added new gene–disease term connections, to bring the total to 1401 S. pombe genes. Disease associations now cover 27.3% of all fission yeast protein-coding genes, and almost 40% with human orthologs.

PombeTalks August 4th

2021-07-28

The next online PombeTalks will take place on Wednesday 4th August 2021, at 17:00 Central European Time. Speakers:

  • Tiffany Mak, Nurse lab, The Francis Crick Institute: The TOR-dependant phosphoproteome and regulation of cellular protein synthesis

  • Weifang Wu, Allshire lab, University of Edinburgh: Spatial organisation of the nucleus influences centromere identity

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

After these talks, PombeTalks will take a break for the rest of the summer, so watch this space, pombelist, or PombeSlack for updates. In the meantime, you can fill out this form at any time if you’re interested in speaking.

PombeTalks July 21st

2021-07-14

The next online PombeTalks will take place on Wednesday 21st July 2021, at 10:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Yoko Otsubo, Yamashita lab, National Institute for Basic Biology: Novel links between TORC1 and traditional non-coding RNA, tRNA

  • Jie Su, Nakagawa lab, Osaka University: Rad8-dependent PCNA ubiquitination at lysine 107 causes gross chromosomal rearrangements

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PomBase now uses InterPro Version 86.0

2021-06-30

PomBase now uses InterPro Version 86.0, which integrates:

  • 299 new InterPro entries
  • An update to PROSITE patterns [2021_01] and PROSITE profiles [2021_01]
  • 454 new methods from the PROSITE profiles (39), SMART (2), Pfam (7), SUPERFAMILY (3), CATH-Gene3D (80), PANTHER (295), CDD (27), SFLD (1) databases.

InterPro cites 52235 publications in PubMed. See the InterPro release notes for further information.

PombeTalks July 7th

2021-06-30

The next online PombeTalks will take place on Wednesday 7th July 2021, at 17:00 Central European Time. Speakers:

  • Debatrayee Sinha, Qian Chen lab, University of Toledo: Fission yeast polycystin Pkd2p promotes resumption of cell growth after cytokinesis

  • Joël Lemière, Fred Chang Lab, UCSF: The role of osmotic forces in nuclear size control

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks June 23rd

2021-06-17

The next online PombeTalks will take place on Wednesday 23rd June 2021, at 17:00 Central European Time. Speakers:

  • Yi Wei, Grewal lab, NCI CCR, Bethesda: TOR targets an RNA processing network to regulate cell proliferation and sexual development

  • Nicholas Ader, LusKing Lab, Yale School of Medicine: I open at the close(d mitosis): Investigating post-mitotic nuclear envelope sealing in fission yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

Violin plots for gene expression

2021-06-15

The “Quantitative gene expression” section of PomBase gene pages now offers a display of violin plots to visualize where the gene appears in available expression datasets.

Violin plots are also available to visualize sets of up to 150 genes in the advanced search results.

At present data from Marguerat S et al. (2012) and Carpy A et al. (2014) are included.

PombeTalks June 9th

2021-06-02

The next online PombeTalks will take place on Wednesday 9th June 2021, at 10:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Yusuke Toyoda, Saitoh lab, Kurume University: Nitrogen-dependent persistence of S. pombe Ght5 glucose transporter on the cell surface is effected by TORC2 inhibition of α-arrestin Aly3

  • Anupa T. Anil, Mishra lab, IISER Mohali: How does spliceosome capture branchpoint-distant 3’ splice site?

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks May 26th

2021-05-20

The next online PombeTalks will take place on Wednesday 26th May 2021, at 17:00 Central European Time. Speakers:

  • Mélina Vaurs (Vincent Géli & Stéphane Coulon labs - Cancer Research Center, Marseille): Shelterin-dependent telomerase regulation differs between quiescent and vegetative cells

  • Arthur Molines (Fred Chang lab – UCSF): Physical properties of the cytoplasm modulate microtubule dynamics

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks May 12th

2021-05-05

The next online PombeTalks will take place on Wednesday 12th May 2021, at 17:00 Central European Time. Speakers:

  • Sierra Cullati, Gould lab, Vanderbilt University: Autophosphorylation of the CK1 Kinase Domain Regulates Enzyme Activity and Substrate Specificity

  • Stephen Huisman, Brunner Lab, University of Zurich: Vip1, a temperature-dependent filament forming protein involved in cell length regulation

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

New diploid genotype & phenotype display

2021-04-29

PomBase now includes pages for curated diploid genotypes, and displays phenotypes annotated to them on gene and publication pages. For more details see the documentation for phenotype annotations and genotype pages.

PombeTalks April 28th

2021-04-22

The next online PombeTalks will take place on Wednesday 28th April 2021, at 10:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Tomoyuki Fukuda, Niigata University Graduate School of Medical and Dental Sciences: Atg43 serves as a selective autophagy receptor to promote mitophagy

  • Xiao-Ran Zhang, NIBS, Beijing, China: An improved auxin-inducible degron system for fission yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PomBase now uses InterPro Version 85.0

2021-04-15

PomBase now uses InterPro Version 85.0, which integrates:

  • 157 new InterPro entries
  • An update to CATH-Gene3D [4.3.0]
  • 333 new methods from the Pfam (3), SUPERFAMILY (11), CATH-Gene3D (168), PANTHER (88), CDD (62), SFLD (1) databases

InterPro cites 51539 publications in PubMed. See the InterPro release notes for further information.

PombeTalks April 14th

2021-04-08

The next online PombeTalks will take place on Wednesday 14th April 2021, at 17:00 Central European Time:

  • Pabitra Parua,�Fisher�lab,�Icahn School of Medicine at Mount Sinai: Control of the RNA polymerase II transcription cycle by CDK-phosphatase switches

  • Ye Dee Tay, Sawin Lab,�University of�Edinburgh: Gef1: the first aider of Cdc42 polarity module during stress

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the new Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

New genome browser data: GC content

2021-03-31

A data track showing the fraction of G/C bases in a region is now available in PomBase JBrowse, listed under “Base composition”. The track is generated using the gccontent plugin, and uses a default window of 100 bp.

Qualitative gene expression annotation in Canto

2021-03-31

Canto, PomBase’s online curation tool, now supports qualitative gene expression annotation. Two new annotation types are available to represent observations about the levels of RNA or protein observed in wild-type cells, and how they change over the cell cycle or in response to a stimulus. See the Canto documentation for more information. We have also updated the display of qualitative gene expression on PomBase gene and publication pages.

New protein feature display

2021-03-30

PomBase has released a new, interactive display for protein features on gene pages. The new view is clearer, with details for each feature available via mouseover as well as in the accompanying table.

In addition, PomBase now uses InterPro Version 84.0, which includes 205 new entries and integrates 252 new methods from the Pfam, PANTHER, and CDD databases. See the InterPro release notes for further information.

PombeTalks March 31st

2021-03-27

The next online PombeTalks will take place on Wednesday 31st March 2021, at 17:00 Central European Time:

  • Udo Onwubiko, Das lab, University of Tennessee: Cdc42 prevents early Rho1 activation during cytokinesis

  • Chunmin Shan, Jia lab, Columbia University: The INO80 complex regulates epigenetic inheritance of heterochromatin

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the new Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks March 17th - new time!

2021-03-10

The new season of online PombeTalks for 2021 will begin on Wednesday 3rd March 2021, at a different time: 9:00 Central European Time / 17:00 Japan & Korea. Speakers:

  • Yasuto Murayama, National Institute of Genetics, Shizuoka: Biochemical analysis of the fission yeast structural maintenance of chromosomes complex

  • Ken Ishikawa, Kurume University, Kurume: dCas9-mediated CRISPRi for S. pombe

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will continue with its fortnightly schedule, and every third session will take place at the new Asia-friendly time. Watch this space, pombelist, or PombeSlack for updates, and please fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks return March 3rd

2021-02-24

The new season of online PombeTalks for 2021 will begin on Wednesday 3rd March 2021 at 17:00 Central European Time:

  • Maria Rodriguez Lopez, Bähler lab, UCL: Clr6 orchestrates transcriptional switches to regulate metabolism during oxidative stress

  • Olivia Muriel-Lopez, Martin lab, University of Lausanne: ’Ultrastructural plasma membrane asymmetries underlie cell-cell fusion in S. pombe*

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

PombeTalks will resume its fortnightly schedule, so watch this space, pombelist, or PombeSlack for updates. As in the past, you are always welcome to fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PomBase identifier mapper now available

2021-02-04

We have developed an identifier mapper that retrieves S. pombe gene systematic IDs and standard names for a selection of different input ID types. You can now find S. pombe genes using UniProt accessions, and retrieve manually curated orthologs for S. cerevisiae using standard gene names or ORF names, and for human using standard gene names or HGNC identifiers.

Try the identifier mapper or check out the documentation.

PomBase now uses InterPro Version 83.0

2021-01-25

PomBase now uses InterPro Version 83.0, which integrates:

  • 376 new InterPro entries
  • An update to HAMAP [2020_05], CDD [3.18]
  • 462 new methods from the SMART (2), TIGRFAMs (2), Pfam (3), PANTHER (140), HAMAP (19), CDD (286), SFLD (10) databases

InterPro cites 50487 publications in PubMed. See the InterPro release notes for further information.

First S. pombe microPublication goes live

2021-01-07

The first fission yeast microPublication has now been published:

Nafees Ahamad, Simmi Anjum, Shakil Ahmed\ Pyrogallol induces oxidative stress defects in the fission yeast S. pombe.

Congratulations to the authors, and thanks to the microPublication team!

PombeTalks November 25th

2020-11-18

The last online PombeTalks for 2020 will take place on Wednesday 25th November 2020 at 17:00 Central European Time:

  • I-Ju Lee, David Pellman’s Lab, Dana-Farber Cancer Institute: Factors promoting nuclear envelope assembly independent of the canonical ESCRT pathway

  • Ulrike Endesfelder, Carnegie Mellon University: TBC

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

After these talks, PombeTalks will take a well-earned break, and return in early 2021. The schedule is available, and you are always welcome to fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks November 11th

2020-11-04

The next online PombeTalks will take place on Wednesday 11th November 2020 at 17:00 Central European Time:

  • Farnaz Mansouri, Mark Bayfield lab (York University, Toronto): The uncharacterized S. pombe La-related protein 1 functions in translation and affects RNA abundance

  • Saz Basu, Paul Nurse lab (Francis Crick Institute, London): Unmasking the mitotic potential of G1/S Cyclin-CDK

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on November 25. PombeTalks will then take a break, and return in early 2021. The schedule is available, and you are always welcome to fill out this form if you’re interested in speaking.

Thanks to the PombeTalks team for organizing. See you online!

GO annotations from PAINT

2020-11-01

PomBase now includes over 3000 GO annotations made using Phylogenetic Annotation and INference Tool (PAINT), developed by the GO Consortium to infer protein function in a phylogenetic context, supporting precise assertions as to when functions were gained and lost during evolution. PAINT annotations use the evidence code “inferred from biological aspect of ancestor” (IBA). PAINT curation is described in more detail in Gaudet et al. 2011.

PombeTalks October 28th

2020-10-24

The next online PombeTalks will take place on Wednesday 28th October 2020 at 17:00 Central European Time:

  • Omaya Dudin, EPFL, Switzerland: Cellularization of Ichthyosporean coenocytes

  • Bassem Al-Sady, UCSF, USA: Single cell analysis of the heterochromatin spreading reaction

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on November 11, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks October 14th

2020-10-08

The next online PombeTalks will take place on Wednesday 14th October 2020 at 17:00 Central European Time:

  • Dimitrios Vavylonis, Lehigh University: Modeling fission yeast’s polarization pattern

  • Chloe Snider, Gould Lab, Vanderbilt University: Opposite surfaces of the Cdc15 F-BAR domain create a membrane platform that coordinates cytoskeletal and signaling components for cytokinesis

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on October 28, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks September 30th

2020-09-23

The next online PombeTalks will take place on Wednesday 16th September 2020 at 17:00 Central European Time:

  • Alexander Lorenz, University of Aberdeen, UK: Meiotic recombination outcome in the face of genetic diversity

  • Veneta Gerganova, Martin Lab, UNIL, Switzerland: Patterning of membrane-associated proteins through membrane flows

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on October 14, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

New genome browser datasets 2020-09-17

2020-09-17

Two new datasets in are now available in PomBase JBrowse (links go to PomBase publication pages, which in turn link to the browser with the tracks enabled):

  • Meiotic DSBs from
    Fowler KR, Gutiérrez-Velasco S, Martín-Castellanos C, Smith GR. 2013.
    Protein determinants of meiotic DNA break hot spots.
    PMID:25747261 DOI: 10.1016/j.molcel.2013.01.008

and

  • Time-lapse single-cell transcripts for dormancy breaking from
    Tsuyuzaki H, Hosokawa M, Arikawa K, Yoda T, Okada N, Takeyama H, Sato. 2020.
    Time-lapse single-cell transcriptomics reveals modulation of histone H3 for dormancy breaking in fission yeast.
    PMID:32152323 DOI: 10.1016/j.molcel.2013.01.008

More datasets are always welcome, so check out our instructions for submission.

PombeTalks September 16th

2020-09-14

The next online PombeTalks will take place on Wednesday 16th September 2020 at 17:00 Central European Time:

  • Susan Forsburg, University of Southern California: Visualizing replication stress

  • Sigurd Braun, Ludwig-Maximilians-Universität, München: Gene repression at the nuclear membrane: Multifaceted roles of Lem2

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on September 30, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

New dataset: Hermes transposon insertions

2020-09-11

PomBase now hosts transposon integration data from Lee et al. 2020. Henry Levin explains the background and significance of the work:

“Transposon Integration Sequencing is a genome wide method of mapping sequences that contribute to growth. High throughput sequencing of transposon integration sites in haploid cells with single insertions reveals which genes are dispensable. Once propagated, cultures exhibit a pronounced lack of insertions in genes necessary for growth. This method, originally developed to study bacteria is now used to characterize the genomes of several yeasts including S. pombe. In earlier work we used the transposon Hermes to identify genes of S. pombe required for growth (Guo et al., 2013, Genetics, PMID:23893486). We have now applied Hermes and Transposon Integration Sequencing to identify genes important for the formation of heterochromatin (Lee et al., 2020, Cell Reports, PMID:32101745). Insertion sites from eight independent cultures can be visualized from PomBase as custom tracks on Jbrowse. Four cultures were of cells with ura4 silenced by cen1 heterochromatin. The other four cultures were of a strain without ura4. By passaging the cultures in 5-FOA we selected against cells with defects in heterochromatin. Genes that contributed to the formation of heterochromatin exhibited fewer insertions in cells with the cen1 copy of ura4 relative to the strain lacking ura4. To distinguish genes critical for heterochromatin from genes that contribute to a lesser extent we passaged cultures in 5-FOA for 5 generations and for 80 generations. While viewing these integration sites can indicate whether genes of interest contribute to heterochromatin formation you can also examine insertions in the cultures lacking ura4 to gage whether specific genes or noncoding sequences make significant contributions to growth.”

New genome browser datasets 2020-09-08

2020-09-08

Three new datasets in are now available in PomBase JBrowse (links go to PomBase publication pages, which in turn link to the browser with the tracks enabled):

  • Transcription start sites from
    Li H, Hou J, Bai L, Hu C, Tong P, Kang Y, Zhao X, Shao Z. 2015.
    Genome-wide analysis of core promoter structures in Schizosaccharomyces pombe with DeepCAGE.
    PMID:25747261 DOI:10.1080/15476286.2015.1022704

  • Transcript data from
    Eser P, Wachutka L, Maier KC, Demel C, Boroni M, Iyer S, Cramer P, Gagneur J. 2016
    Determinants of RNA metabolism in the Schizosaccharomyces pombe genome.
    PMID:26883383 DOI:10.15252/msb.20156526

  • Transposon insertion sites from
    Lee SY, Hung S, Esnault C, Pathak R, Johnson KR, Bankole O, Yamashita A, Zhang H Levin HL.
    Dense Transposon Integration Reveals Essential Cleavage and Polyadenylation Factors Promote Heterochromatin Formation.
    PMID:32101745 DOI:10.1016/j.celrep.2020.01.094

Submit your genome browser data

2020-09-08

We have updated our HTP data submission procedure to make it easier for you to contribute your datasets for PomBase JBrowse:

We now provide spreadsheet templates in Excel and Open Document formats that gather the metadata we need to load and display your data. You can download a template from the documentation page on HTP data submission. Send completed spreadsheets to the PomBase helpdesk.

Published: GO Term Matrix for annotation QC

2020-09-02

In collaboration with the GO Consortium, the PomBase team has published a report on the Term Matrix approach to GO annotation quality control. The article, out this week in Open Biology, describes biological processes that do, or don’t, share annotated gene products, and how we use co-annotation patterns to build rules to detect, correct, and prevent errors.

PombeTalks September 2nd

2020-09-01

The next online PombeTalks will take place on Wednesday 2nd September 2020 at 17:00 Central European Time:

  • François Bachand, USherbrooke, Canada: Proximity-dependent biotinylation assays in fission yeast and a tale about slow RNA polymerase II transcription

  • Scott Curran, Nurse Lab, The Crick Institute, UK: A quantitative and spatial analysis of the cell cycle control network

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on September 16, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

11th Pombe meeting postponed to 2022

2020-08-19

Due to the ongoing Covid-19 pandemic, the 11th International Fission Yeast Meeting, due to take place in Hiroshima, Japan, has been postponed.

The new dates will be 12th (Sun -17th (Fri) June, 2022.

Please see the conference website and pombelist for further announcements.

PombeTalks August 19th

2020-08-12

The next online PombeTalks will take place on Wednesday 19th August 2020 at 17:00 Central European Time:

  • Joe Magliozzi, Moseley Lab, Dartmouth: Cell polarity kinases regulate RNA-binding protein Sts5 to control cell shape

  • Ramakanth Neeli, Minc Lab, Institute Jacques Monod: Mechanisms and Functions of Cell Wall Mechanosensing in Fission Yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on September 2, and the schedule is available for the next few weeks. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks August 5th

2020-07-31

The next online PombeTalks will take place on Wednesday 5th August 2020 at 17:00 Central European Time:

  • Feng Li, Levin Lab NICHD/NIH, USA: Identification of an integrase-independent pathway of retrotransposition

  • Ivan Surovtsev, King lab, Yale University, USA: Liquid-liquid phase separation, heterochromatin domains and nuclear mechanics

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on August 19, and the summer schedule is available. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

Fission yeast microPublications

2020-07-22

PomBase has recently joined microPublication.org, which “publishes brief, novel findings, negative and/or reproduced results, and results which may lack a broader scientific narrative”, as a Partner Database. Fission yeast researchers can thus now make any results available to the community, even those that don’t fit neatly into traditional publications.

Visit the microPublications website to learn more, to register and submit your data, or sign up to review. Send questions to the PomBase helpdesk.

PombeTalks July 22nd

2020-07-21

The next online PombeTalks will take place on Wednesday 22nd July 2020 at 17:00 Central European Time:

  • Prof. Dr. Ann Ehrenhofer-Murray, Institut für Biologie, Humboldt-Universität zu Berlin: Queuosine and m5c modification of RNA: Nutritional control of translation in S. pombe homestasis

  • Dr. Sarah Sabatinos, Department of Chemistry and Biology, Ryerson University: Long-term effects of surviving replication instability

  • PomBase microPublications announcement (Midori Harris)

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on August 5, and the summer schedule is available. If you’re interested in speaking, please fill out this form.

Thanks to the PombeTalks team for organizing. See you online!

PombeTalks July 8th

2020-07-02

The next online PombeTalks will take place on Wednesday 8th July 2020 at 17:00 Central European Time:

  • Sahana Holla, Grewal lab, NIH: Positioning heterochromatin at the nuclear periphery promotes epigenetic inheritance

  • Nick Rhind, UMass Medical School: Cell size is controlled by size-dependent expression of mitotic activators

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also see PombeSlack for Q&A after the talks, and for recordings of previous sessions.

The next talks are on July 22nd, and the summer schedule is available. If you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

PombeTalks June 24th

2020-06-19

The next online PombeTalks will take place on Wednesday 24th June 2020 at 17:00 Central European Time:

  • Sito Torres-Garcia, Allshire lab, University of Edinburgh: Epigenetic gene silencing by heterochromatin primes fungal resistance

  • Julie Rich-Robinson, Das lab, University of Tennessee: Cell-cycle-dependent cues temporally regulate Cdc42 activity at growth sites in fission yeast

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up.

A schedule is now available for the rest of the summer, including the next talks on July 8th. If you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

Editable PomBase query names

2020-06-11

Entries in the PomBase advanced search query history now show brief, user-editable query descriptions, and a toggle to show or hide additional details.

PombeTalks POSTPONED to June 17th

2020-06-05

Please note that the next online PombeTalks will take place one week later than originally planned, to support the STEM Strike for Black Lives on 10th June.

In the meantime, please complete this brief survey of the audience.

On Wednesday 17th June 2020 at 17:00 Central European Time, the speakers will be:

  • Gautam Dey, Baum lab, UCL / EMBL Heidelberg: Closed mitosis requires local disassembly of the nuclear envelope

  • Meredith Betterton, UC Boulder: Computational modeling of fission yeast mitosis: what we can learn about pombe from computer simulations

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. The next two sessions will b on June 27 and July 8. If you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

PombeTalks May 27th

2020-05-21

The next online PombeTalks will take place on Wednesday 27 May 2020 at 17:00 Central European Time. This time, in addition to the usual pair of research talks, our own Val Wood will show a few of PomBase’s lesser-known features.

  • Angad Garg, Stewart Schuman’s lab, Memorial Sloan Kettering Cancer Center: Long non-coding RNA control of phosphate homeostasis

  • José López Hernández, Sarah Zander’s lab, Stowers Institute for Medical Research: Diverse mating strategies in S. pombe affect the spread of wtf meiotic drivers

  • Val Wood, PomBase: Hidden corners of PomBase: Ten features you might not have seen

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also mark your calendars for the next two sessions on and June 10 and 24, and if you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

New fission yeast GO slims

2020-05-20

To complement the overview provided by the fission yeast GO biological process slim, we have created GO slims for the molecular function and cellular component branches of GO. Each slim page provides links to ontology term pages, annotated genes, and to download files containing the slim terms and IDs.

New ontology slimming options for advanced search results

2020-05-20

The PomBase advanced search results panel now allows you to retrieve annotations to any of the fission yeast GO slims or the Mondo disease slim for genes in the results list. For example, you can query for all genes involved in a process and slim the resulting list by molecular function or disease association.

PomBase adopts MONDO for disease gene curation

2020-05-18

PomBase has switched from the Disease Ontology (DO) to the Monarch Initiative’s Mondo Disease Ontology (Mondo) for disease gene curation. Mondo covers the same set of disease descriptions as DO, but has a richer hierarchical structure that classifies more specific descriptions into broad categories (e.g. anemia, cancer, kidney disease) suitable for a disease “slim” term set.

PomBase curators are collaborating with Mondo to improve its disease classification, especially in areas that will support inferences that improve fission yeast disease annotation coverage in the new PomBase Mondo slim. The new disease slim is a work in progress, so if there is a particular disease grouping that you would find useful, please let us know.

Improved gene-disease curation

2020-05-18

PomBase disease gene curation associates disease descriptors with fission yeast orthologs of human disease-causing genes. We have now increased coverage by adding new gene–disease term connections, with 3954 individual annotations to 1195 genes (up from 2588 and 905 respectively in January 2019). Disease associations now cover 24.5% of all fission yeast protein-coding genes, and over one third of those with human orthologs.

Published: Community curation in PomBase

2020-05-11

The PomBase team has published an overview of our experience with community curation for fission yeast. In the article, out this week in Database, we reflect on the factors that have made our community’s remarkable, standard-setting achievements possible, and on the benefits we and PomBase users derive from this effort. We highlight the collaboration between authors and professional curators that arises via community curation, and how annotation quality improves as a result.

Watch for invitations to curate your new papers, or see our community curation page for more information.

PombeTalks May 13th

2020-05-07

The next online PombeTalks will take place on Wednesday 13 May 2020 at 17:00 Central European Time. Speakers:

  • Sarah Lambert, Institut Curie, Paris, France: Resolution of replication stress in space and time for maintaining genome stability

  • Cornelia Kilchert, Justus-Liebig-University, Giessen, Germany: RNA-binding proteins in fission yeast - a global perspective

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also mark your calendars for the next two sessions on May 27 and June 10, and if you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

Chromatin silencing ontology & annotation overhaul

2020-05-07

PomBase curators have collaborated with the GO Consortium to improve the representation of chromatin silencing and the underlying heterochromatin organization processes in the GO biological process ontology and annotations.

Notably, “chromatin silencing” terms have been removed from GO on the grounds that they conflated various heterochromatin assembly, formation, and maintenance pathways with processes that affect chromatin-mediated repression more indirectly (e.g. tethering to the nuclear envelope). Chromatin silencing is a phenotype resulting from the cumulative effects of these processes, and the Fission Yeast Phenotype Ontology (FYPO) accordingly retains a full suite of “chromatin silencing” terms.

Annotations using the GO chromatin silencing terms were reviewed, and either removed or reannotated based on what could be inferred from the phenotypes, resulting in a substantially revised set of heterochromatin assembly annotations. Further work is required, so please send us any corrections.

PomBase now uses InterPro Version 79.0

2020-05-05

PomBase now uses InterPro Version 79.0, which integrates:

  • 128 new InterPro entries
  • An update to PIRSF [3.10]
  • 151 new methods from the SUPERFAMILY (4), CATH-Gene3D (6), PIRSF (9), PANTHER (106), and CDD (26) databases.

InterPro cites 48466 publications in PubMed. See the InterPro release notes for further information.

Mitochondrial genome update

2020-05-01

The mitochondrial genome sequence in PomBase has been updated to reflect corrections made in Tao et al. (2019) “Intraspecific Diversity of Fission Yeast Mitochondrial Genomes”.

Midori Harris receives 2020 Biocuration Career Award

2020-04-28

Midori Harris, ontology developer and curator at PomBase, has been awarded the 2020 Biocuration Career Award.

Congratulations to Midori and a huge thanks for all that you do for PomBase.

PombeTalks start on April 29th

2020-04-22

The first in the new series of online PombeTalks will take place on Wednesday 29 April 2020 at 17:00 Central European Time. Speakers:

  • Aleksandar Vjeṧtica, Sophie Martin’s lab, University of Lausanne: Cycling for reproductive fidelity: Coupling the cell cycle and re-fertilisation blocks ensures ploidy maintenance during sexual lifecycle

  • Haitong Hou, Julia Cooper’s lab, NCI & University of Colorado: Centromeres are dismantled by foundational meiotic proteins Spo11 and Rec8

Talks will be streamed live via Zoom. The link will be circulated via pombelist and PombeSlack one day in advance, so make sure you’ve signed up. Also mark your calendars for the next two sessions on May 13 and May 27, and if you’re interested in speaking, please fill out this form.

Thanks to Gautam Dey and the rest of the PombeTalks team for organizing. See you online!

AnGeLi update

2020-03-23

AnGeLi (developed by Danny Bitton) is a tool that allows you to perform enrichments over gene lists.

AnGeLi has recently been updated to provide 9320 lists, including ontology-based annotations from PomBase (as of 2020-03-04) as well as many additional datasets from the Bähler laboratory.

New search result download options

2020-03-23

The PomBase Advanced search has added new options to the data you can download for your query results:

  • All physical interactors of a gene product
  • Deletion viability
  • Protein length

PomBase now uses InterPro Version 77.0

2020-03-01

PomBase now uses InterPro Version 77.0, which integrates 145 new methods from the CATH-Gene3D (134), and SUPERFAMILY (11) databases. InterPro cites 59894 publications in PubMed. See the InterPro release notes for further information.

Community curation response rate reaches 50%

2020-02-28

789/1587 publications assigned to community members for curation are finished. A big thank you to everyone who has participated so far. For more details, and all our curation metrics, see https://curation.pombase.org/pombe/stats/annotation

A quarter of a million annotations

2020-02-20

PomBase recently reached 250,000 annotations to controlled vocabularies and ontologies. The majority (over 90%) are assigned manually from fission yeast experimental data derived from 3776 publications, most of which report low-throughput, hypothesis-driven experiments.

You can query and combine any of these data types in the Advanced search.

Thank you to everyone who contributed to this significant achievement through community curation.

Query phenotypes for conditions

2020-02-05

The PomBase advanced search Advanced search now supports using experimental conditions as search criteria for phenotype annotations. For example, you can now query for genes that show abnormal chromosome segregation mutant phenotypes specifically at high or low temperatures. The search uses the same condition descriptors as Canto and the PomBase web pages.

Note that phenotype queries that have condition constraints can be combined, but pay careful attention to the annotations for the results. Future work will add support for querying for multiple conditions on the same annotation, and for specifying conditions to exclude from results.

Levures, Modèles et Outils 14th International Conference

2020-02-04

The 14th edition of the “Levures, Modèles et Outils” meeting (LMO14) will be held in July 9-11, 2020, at the University of Strasbourg in France. Registration is open February 3rd to June 30th, and abstracts can be submitted from February 3rd to April 10th. Authors will be notified in early May and the final program will be available in early June.

The sessions will be diverse and present the latest findings using yeast as a model organism on the following topics:

  1. Cell biology, cell cycle, cytoskeleton
  2. Gene expression regulation
  3. Population, functional and evolutionary genomics
  4. Replication, repair and recombination
  5. Transport, sensing and signaling
  6. Pathogenic yeast and filamentous fungi
  7. Tools, resources and databases
  8. New technologies, yeast and industry

PomBase is now an ELIXIR Node Service

2020-01-17

PomBase has been awarded Node Service status by the UK node of ELIXIR. ELIXIR-UK Node Services support the bioinformatics and broader biological research communities by providing training and resources that help researchers to find and share data, exchange expertise, and agree on best practices at national, European and international levels. The review panel describes PomBase as a “mature, leading model organism database which is popular, unique, well used, and has a strong user community.”

New vectors for simple, reliable S. pombe molecular biology

2020-01-07

To enable fission yeast researchers to manipulate S. pombe molecular biology reproducibly and easily, Aleks Vještica and Magdalena Marek in Sophie Martin’s lab have designed and constructed a series of simple, fully characterized plasmids.

The Stable Integration Vector (SIV) series provides a highly modular toolbox to introduce heterologous sequences more stably was possible with than previously available vectors. The toolkit includes antibiotic resistance markers, promoters, fluorescent tags, and terminators, as well as large set of ready-to-use fluorescent probes to mark organelles and visualize cellular processes.

The work is published in the Journal of Cell Science, and a PomBase publication page is available.

Browser tracks now loadable from publication pages

2019-10-16

Data tracks from datasets hosted in the PomBase genome browser can now be browsed and loaded from their respective publication pages. For an example, see Atkinson et al. (2018). Data tracks are now also downloadable from the publication pages.

New PomBase funding from the Wellcome Trust

2019-10-07

We are pleased to announce that the recent PomBase application for continued Wellcome Trust funding was successful. Although the grant was not fully funded, we are confident that we can cover the shortfall by small grants for stand-alone projects and collaborations. We would like to thank the pombe community for their support with the application, and the Wellcome Trust for their continued funding. We look forward to supporting your research until 2025 (and beyond).

PomBase now uses InterPro Version 76.0

2019-10-06

PomBase now uses InterPro Version 76.0, which integrates 277 new methods from the CATH-Gene3D (1), PANTHER (178) and CDD (98) databases. InterPro cites 59846 publications in PubMed. See the InterPro release notes for further information.

Replication origin data loaded into JBrowse

2019-08-30

We have loaded data from: Segurado et al. (2003) “A+T-rich islands”, Hayashi et al. (2007) “Pre-replicative complex localization; early and late firing origins”, and Mickle et al. (2007) “Replication origins with functional classification”.

To view the tracks, either follow the hyperlinks above to the respective PomBase publication pages, and click on the “view” link after “Datasets from this publication are available in the PomBase JBrowse genome browser”, or go directly to the browser and click on the “select tracks” button to find the tracks manually.

For anyone new to JBrowse we have a quick start guide.

Join the conversations on Slack

2019-07-19

The vibrant fission yeast community now has a Slack channel. Slack provides a forum for the research community. Follow conversations you care about, message colleagues privately, or in groups, ask questions, post responses. All archived and searchable.

“Fitness Landscape of the Fission Yeast Genome” dataset loaded into JBrowse

2019-07-11

We have loaded the Grech et al. (2019) “Fitness Landscape of the Fission Yeast Genome” dataset into JBrowse. In this study, transposon mutagenesis libraries were created to map transposon insertion sites in the S. pombe genome. From this data, functional elements of the genome were inferred. The tracks from this study can be loaded by a single click from the linked publication page above

Thanks Dan Jeffares for sending us the data.

For anyone new to JBrowse we have a quick start guide.

tRNA metabolism GO annotation update

2019-05-19

The process of tRNA metabolism, and the associated molecular functions have recently been reviewed.

Please let us know if the annotation can be further improved.

Customisable FASTA download

2019-04-18

You can now download nucleotide or peptide sequences for genes in Advanced search results in FASTA format, and customise what is included in the FASTA headers (e.g. gene names, product descriptions, sequence coordinates, or various IDs can be included).

PomBase InterPro Update

2019-04-17

PomBase now uses InterPro Version 73.0, which integrates 1,531 new methods from the CATH-Gene3D (122), CDD (330), PANTHER (1075), Pfam (2), PROSITE profiles (1) and TIGRFAMs (1) databases, and covers 81.2% of UniProt Knowledgebase release 2019_02.

See the news item at InterPro for additional information, including release notes.

S. pombe included in Gene Info browser extension

2019-04-16

S. pombe gene information is now included in the Gene Info extension (GIX) for the Chrome and Firefox web browsers. GIX allows you to retrieve information about a gene product directly on any webpage simply by double clicking an official gene name, synonym or supported accession. Searching or double-clicking on text terms retrieves gene function annotation, GO terms, external database links, and interaction data drawn from BioGRID and IntAct. Retrieved gene names are automatically hyperlinked for rapid recursive searches.

GeneInfo is fully open source, available online at GitHub. Tutorial videos, a step-by-step guide, and download links for Firefox Add-ons and the Chrome web storeare available online. GeneInfo was developed by James Knight in the Gingras Lab at the Lunenfeld-Tanenbaum Research Institute in Toronto, Canada.

2019-03-19

The PomBase motif search has been fully integrated into the website, and allows users to find protein motifs and send them directly to the PomBase advanced search.

ICYGMB 2019 - registration open

2019-03-13

Registration is now open for the 29th International Conference on Yeast Genetics and Molecular Biology (ICYGMB), which returns to Gothenburg, Sweden, August 18-22, 2019.

Yeast2019 is the meeting of the international yeast research community where the latest, and even unpublished results are exchanged, and new projects, alliances, and collaborations are founded. Featuring 55 confirmed speakers including keynote lectures by Susan Gasser, Roger Kornberg and Frederick Roth, this conference will contain important news and information for all yeast researchers. A do-not-miss-event.

GO slim for any S. pombe gene list

2019-03-05

PomBase’s advanced search now allows you to retrieve GO slim annotations for any set of search results. To find GO slim annotations for your own list of S. pombe genes, use the advanced search “Gene names and IDs” option, and then use the “Slim” button on the search results page.

See the fission yeast GO slim page and the advanced search documentation for more information.

South Eastern Regional Yeast Meeting (SERYM) - registration open

2019-03-04

Registration is now open for the 26th annual South Eastern Regional Yeast Meeting (SERYM), which will be held April 12-14, 2019, in Atlanta, GA, USA.

Fission yeast’s own Susan Forsburg is the keynote speaker. The meeting brings together researchers who use any type of yeast as a model system, covering diverse, interdisciplinary topics from strategies for treatment of fungal disease to modeling human disease in yeast.

Icon: SERYM 2019

International Cell Cycle meeting - registration open

2019-02-27

Registration is now open for the Inaugural Trieste Cell Cycle Meeting, which will be held June 3-6, 2019, in Trieste, Italy.

This is the first of a planned series of biennial cell cycle meetings that will take place in Europe, and will alternate with the Salk Cell Cycle meetings held on the US west coast.

Organisers Rob de Bruin, Snezhana Oliferenko, Rosella Visintin and Peter Thorpe hope to see you there!

Icon derived from meeting image; credit: Chantal Roubinet, Baum lab

Published: Hidden in plain sight: What remains to be discovered in the eukaryotic proteome?

2019-02-20

Our analysis of conserved unknown proteins has now been published in Open Biology. In it, PomBase curators consider the challenges and opportunities that conserved, but persistently unstudied, proteins pose for diverse areas of basic and applied biology. We develop metrics to define unknown lists, provide unknown inventories for human and yeast, and classify S. pombe unknowns by numerous orthogonal attributes, all with a view to drawing attention to the unknowns to alleviate their neglect.

Pombe 2019 - registration open

2019-02-15

Registration for the 10th International Fission Yeast Meeting is now open!

The conference will take place July 14-19, 2019, in Barcelona, Spain. Early registration closes on April 15th — or when capacity is reached. Please see the conference website for more information, including registration final deadline and costs (some travel grants are available), abstract submission, programme, accommodation, and logistics.

Val Wood wins Biocuration society award

2019-02-12

Congratulations to PomBase project leader Val Wood, who has received the 2019 Exceptional Contributions to Biocuration Award from the International Society for Biocuration. Read more at the ISB site

Improved disease association dataset released

2019-01-09

We are pleased to announce the release of our improved human disease mappings dataset. This dataset connects human disease causing genes to their S. pombe orthologs.

Diseases are now mapped to the Disease Ontology (DO) and the dataset has been extended by data from Malacards. All disease associations can be accessed from the top level disease page. A disease slim has been created to facilitate browsing of disease categories. Currently, 907 S. pombe genes are associated with disease (up from 610 in the original dataset). This number is due to increase as mappings are still in progress.

Many thanks to DO and Malacards for help in improving this annotation set. Icon courtesy of Julie McMurry.

Mitochondrial GO annotation update

2018-12-17

Responding to increasing interest in mitochondrial biology, especially relating to ageing, neurogenerative diseases, and processes at the ER-mitochondrion interface, we have reviewed S. pombe mitochondrial GO annotations. Although there is still relatively little fission yeast-derived experimental data in this area, we have refined many inferred annotations for mitochondrial complexes and sub-components as well as some for processes.

You can see all 753 S. pombe mitochondrial annotations on the ontology term page for mitochondrion (GO:0005739).

Icon courtesy of Reactome.

New nucleosome occupancy maps loaded

2018-12-03

We have loaded the nucleosome occupancy maps as described in González et al. (2016) PMID: 27662899. This dataset was generated using the paired-end sequencing protocol of Illumina and thus those maps are of higher resolution than those made with single-end (SE) sequencing hosted in the browser since before.

Here is a link that loads the tracks in PomBase JBrowse. And here is a link to our JBrowse quickstart guide.

Many thanks to Paco Antequera for sending us the bigwig files! If you would like us to load any datasets then please get in touch.

See your genes in a QuiLT

2018-11-21

PomBase now offers a new way to display gene lists graphically based on multiple orthogonal annotation types — the Quick Little Tool (QuiLT) for visualisation.

Inspired by our recent analysis of conserved unstudied proteins (see figures 4 and S1 in the manuscript at bioRxiv), QuiLT allows you to create a similar figure for any gene list you create or import using the advanced search. To use QuiLT, follow the link to your search results, then click the “Visualise” button. QuiLT visualisation is also available from the PomBase pages that list genes annotated to an ontology term, and on the Priority unstudied genes page.

To see the Unknowns dataset in QuiLT, visit the unknowns results page and click “Visualise”.

The QuiLT display is interactive, and you can:

  • Highlight subsets of the list, and filter the display
  • Toggle annotation types on and off
  • Reorder the list to focus on features of most interest
  • Download the image

See the QuiLT documentation for more information, and contact the curators if you have comments, questions or suggestions.

Many thanks to our star (and only) programmer, Kim Rutherford, for developing QuiLT.

Fission yeast transmembrane transport overhaul

2018-11-20

The Gene Ontology “transmembrane transport” branch has recently been substantially revised. In line with these revisions, PomBase has standardised gene product descriptions for transporters, and overhauled GO annotations to be as complete and comprehensive as possible based on current knowledge.

Icon courtesy of Reactome.

Hidden in plain sight: What remains to be discovered in the eukaryotic proteome?

2018-11-17

In a new publication, PomBase curators consider the challenges and opportunities that conserved, but persistently unstudied, proteins pose for diverse areas of basic and applied biology. To draw attention to these proteins, we develop metrics to define unknown lists, provide unknown inventories for human and yeast, classify S. pombe unknowns by numerous orthogonal attributes, and speculate about reasons for their neglect.

A pre-publication manuscript is available at bioRxiv.

PomBase in your pocket

2018-11-14

Our usage statistics informed us that over 20% of devices accessing PomBase are smartphones or tablets. We therefore spent some time optimizing the display for small screens. We hope that you will continue to enjoy PomBase on the go!

Celebrating 20 years of GO

2018-11-08

PomBase curators are major contributors to the Gene Ontology (GO) project — ontology content, annotations, and QC procedures — and co-authors on the new GO NAR Database Issue paper.

We recommend citing the GO and PomBase NAR papers when you use GO data in your analyses.

RNA central and PomBase

2018-11-06

RNAcentral is a comprehensive database of non-coding RNA sequences. PomBase is an RNAcentral Consortium member, and all of the curated non-coding RNAs from PomBase will be available in RNAcentral soon. For more information, see their recent NAR Database Issue paper, as well as current search results for S. pombe RNAs.

New PomBase genomic region graphics

2018-10-23

PomBase gene pages now use interactive graphics from PomBase JBrowse to depict the genomic region around the gene. Drag to scroll left and right, double-click to zoom in, shift-double-click to zoom out, and click a feature to see details in a popup. The “Full-screen view” link in the corner opens the fully functional JBrowse in a new tab or window. Reloading a gene page restores the display to the default location and zoom level.

PomBase NAR Database Issue

2018-10-15

Our NAR database update “PomBase 2018: user-driven reimplementation of the fission yeast database provides rapid and intuitive access to diverse, interconnected information” is now available. We have updated the Citing PomBase to recommend citing this new paper. Thank you all for guiding the development of the new, improved PomBase, and for your continued usage, curation contributions, and suggestions!

Fungal Pathogen Genomics Course 2019 - registration open

2018-10-10

Registration for the 2019 Fungal Pathogen Genomics Course is now open. The course is hosted by Wellcome Genome Advanced Courses and Scientific Conferences, and will take place May 7-12, 2019, at the Wellcome Genome Campus, Hinxton, UK. Course content provides hands-on training on how to: - Take advantage of unique tools offered by FungiDB, EnsemblFungi, PomBase, SGD/CGD, and MycoCosm/JGI; - Develop testable hypotheses; - Investigate transcriptomics, proteomics and genomics datasets across multiple databases and different user interfaces. Please see the course website for more information, including how to apply, costs (limited bursaries are available), programme, and logistics.

Transcript tracks from Atkinson et al. (2018) loaded

2018-10-06

We are very pleased to announce that we have loaded the transcript tracks from Atkinson et al. (2018) into the PomBase JBrowse genome browser. For a brief introduction to getting started with PomBase JBrowse, please see our documentation page. If you have published data that you would like to see hosted, please get in touch.

pombelist changes

2018-08-31

The pombe community mailing list, “pombelist”, is now hosted by the University of Cambridge. The new address for posting messages is . The link to subscribe has also changed.

New genome browser tracks

2018-05-28

We are very pleased to announce that we have loaded a number of new datasets into the PomBase [JBrowse genome browser (https://www.pombase.org/jbrowse/). These include:

For anyone wanting a quick introduction to our genome browser, Antonia Lock has written “Getting started with PomBase JBrowse”, a basic guide that covers loading tracks, navigating the browser, what metadata we provide, and more.

New book chapter about PomBase

2018-05-22

PomBase has a new book chapter in Eukaryotic Genomic Databases (Methods and Protocols). This chapter provides insight into the curation philosophy and data organization at PomBase, and provides a guide to using PomBase tailored for infrequent visitors and anyone considering extending their research to include S. pombe. The chapter is free to download courtesy of the Wellcome Trust.

PomBase releases JBrowse

2018-04-16

PomBase has now implemented JBrowse, from the GMOD project, as its genome browser. The new browser offers a number of improvements over the old:

  • Quick, responsive scrolling and zooming
  • Simple track selection interface
  • Intuitive controls
  • Simplified data submission pipeline behind the scenes
  • More informative track metadata

In memory of André Goffeau

2018-04-05

Sadly, PomBase staff and the fission yeast community note the death of André Goffeau on April 2, 2018. In addition to initiating and coordinating the sequencing of the budding yeast genome, Prof. Goffeau will be remembered for his contributions to the fission yeast genome project and for his knowledge, leadership, and friendship.

Congratulations to GSA award winners

2017-11-24

The Genetics Society of America (GSA) has announced two award winners familiar to the model organism database world:

  • Ira Herskowitz Award: Mike Cherry, Stanford University
  • Lifetime Achievement Award: Steve Oliver, University of Cambridge

The awards will be presented at the next Yeast Genetics Meeting, at Stanford University in August 2018. Congratulations and thanks to Mike and Steve!

New, improved PomBase goes live

2017-10-24

The new PomBase web site, which has been under development during 2017, has been released. The new site features:

  • Nightly data updates
  • New publication pages
  • New genotype pages
  • Improved ontology term pages
  • Improved summary views for annotation displays
  • Phenotype annotation display filtering
  • Faster querying in the advanced search
  • Front page research and community curation highlights
  • Streamlined back-end data storage and retrieval

We thank the members of the fission yeast research community who have followed its progress via the preview site, and welcome feedback from all users.

9th International Fission Yeast Meeting - early registration closes soon

2016-12-11

Reminder: early registration for the 9th International Fission Yeast Meeting in Banff closes Dec. 31, 2016. Please see the conference website at www.pombe2017.com for details.

9th International Fission Yeast Meeting registration open

2016-10-31

Registration for the 9th International Fission Yeast Meeting is now open. The meeting will be held in Banff, Canada from May 14-19, 2017. Early registration closes Dec 1, 2016! Please see our website at www.pombe2017.com for details. We look forward to seeing you in Banff!

- Conference Organizers: Dallan Young, Gordon Chua, Paul Young

PomBase data update 2016-10-19

2016-10-19

We have updated the data available on the PomBase web site to include manual curation through September 11, 2016.

Show your support for database funding

2016-06-27

In response to planned cuts to database funding, leading model organism researchers have prepared an open letter to NIH Director Dr. Francis Collins to demonstrate support for the independent community-focused databases that are essential to their work. Although PomBase is not directly funded by NIH, we collaborate extensively with those that are, including the GO Consortium and several model organism databases.

The Genetics Society of America website where the letter can be viewed and signed is at http://www.genetics-gsa.org/MODsupport

Please sign the letter to add your voice in support of the databases that help make your research possible. For more information, we recommend an email that Mike Cherry sent to the GO-Friends mailing list, archived at https://mailman.stanford.edu/pipermail/go-friends/2016-June/002355.html

Our model organism database commentary

2016-06-15

Several of the PomBase staff, joined by our advisor Sir Paul Nurse, have published a Comment in BMC Biology briefly describing the importance of model organism databases to the success of modern biomedical research:

Oliver SG, Lock A, Harris MA, Nurse P, Wood V. 2016. Model organism databases: essential resources that need the support of both funders and users.
BMC Biol. 2016 14(1): 49. doi: 10.1186/s12915-016-0276-z. PMID:27334346

PomBase data update 2016-05-31

2016-05-31

We have updated the data available on the PomBase web site to include manual curation through May 12, 2016.

PomBase data update 2016-05-09

2016-05-09

We have updated the data available on the PomBase web site to include manual curation through April 8, 2016.

PomBase data update 2016-04-11

2016-04-11

We have updated the data available on the PomBase web site to include manual curation through March 9, 2016.

Important: We have corrected a problem that made erroneous interaction data and literature appear on some gene pages.

The gene pages now include interaction data from the Vo et al. proteome-wide study (curated by BioGRID and imported into PomBase):
Vo TV et al. 2016. A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human. Cell 164(1-2): 310-23. doi: 10.1016/j.cell.2015.11.037 PMID:26771498.

The genome browser now includes transcriptome data published in:

Eser P, Wachutka L, Maier KC, Demel C, Boroni M, Iyer S, Cramer P, Gagneur J. 2016. Determinants of RNA metabolism in the Schizosaccharomyces pombe genome. Mol Syst Biol. 12(2): 857. doi: 10.15252/msb.20156526 PMID:26883383.

PomBase data update 2016-02-11

2016-02-11

We have updated the data available on the PomBase web site to include manual curation through January 25, 2016.
The genome browser includes variation data, in tracks under “Variation”, from natural S. pombe isolates, published in:

Jeffares DC et al. 2015. The genomic and phenotypic diversity of Schizosaccharomyces pombe. Nat Genet. 47(3): 235-241. doi:10.1038/ng.3215 PMID:25665008

New files are now available from the PomBase FTP site, and are linked from pages in the Download Datasets area:

  • Non-coding RNA sequence feature coordinates (available via the Data Mappings page);
  • Protein features, such as domains and family assignments (available via the Protein Datasets page);
  • Protein modification annotations (also in Protein Datasets).

The New and Removed Genes page has been updated to reflect recent deletions and merges.

Note: Ontology graph views are no longer available in the genome browser, so links have been removed from the GO, FYPO, and modification tables on the gene pages. For GO and FYPO, links to external ontology browsers that offer graphical views are available on the Ontology Term pages.

PomBase data update 2015-12-02

2015-12-02

We have updated the data available on the PomBase web site to include manual curation through November 9, 2015, including 340 community-curated publications.

New Advanced Search features

2015-12-02

We have introduced new features to the Advanced Search:

  • There are now two query reuse options: store a query in your web browser cache, or download a JSON file that can be uploaded later to re-run.
  • You can now query for genes that interact genetically or physically with a specified gene.
  • The FYPO query now offers options to choose nulls (deletions or disruptions), wild-type overexpression, or all alleles. The search results will include any genes that have an allele that matches the allele criteria and the chosen phenotype.

New genetics primer for fission yeast

2015-10-19

A new genetics primer, aimed at researchers interested in using fission yeast as a model system, has recently been published. The primer includes a brief history of fission yeast research, an introduction to available genetic tools, and the use of PomBase for data analysis

Hoffman CS, Wood V, Fantes PA. (2015) An Ancient Yeast for Young Geneticists: A Primer on the Schizosaccharomyces pombe Model System. Genetics 201:403-423. PMID:26447128 DOI:10.1534/genetics.115.181503

PomBase data update; viability summary correction alert

2015-09-28

We have updated the data available on the PomBase web site to include manual curation through September 6, 2015.

Errors in the previous FYPOviability.tsv file have been corrected, and we recommend that all users update this file, especially those who downloaded it earlier in September 2015.

PomBase data update with multi-allele phenotypes

2015-09-03

We have updated the data available on the PomBase web site to include manual curation through August 13, 2015, including 300 community-curated publications.

PomBase gene pages now include multi-allele phenotype annotations (i.e. phenotypes of double mutants, triple mutants, etc.). New sub-sections of the gene pages display multi-allele phenotypes at the population and individual cell level, paralleling the organisation of the single allele phenotype display. Compact and full views are available; both show phenotypes with the relevant genotypes and the alleles that make them up, and the full view adds details for evidence, expression, conditions, and references.

The genome browser now includes data tracks for two more publications:

DNA polymerase usage from:
Daigaku Y, Keszthelyi A, Müller CA, Miyabe I, Brooks T, Retkute R, Hubank M, Nieduszynski CA, Carr AM. 2015. A global profile of replicative polymerase usage. Nat Struct Mol Biol. 2015 Mar;22(3):192-8. doi: 10.1038/nsmb.2962 PMID:25664722

Promoters and transcription start sites from:
Li H, Hou J, Bai L, Hu C, Tong P, Kang Y, Zhao X, Shao Z. 2015. Genome-wide analysis of core promoter structures in Schizosaccharomyces pombe with DeepCAGE. RNA Biol. 2015;12(5):525-37. doi: 10.1080/15476286.2015.1022704 PMID:25747261

Codon adaptation index (CAI) values are now included in the Protein Properties section of the gene pages and in the downloadable PeptideStats.tsv file. A file of amino acid composition data is also available from the FTP site and the Protein Datasets page.

The gene page section that was formerly misnamed “species distribution” is now called “taxonomic conservation”.

PomBase data update 2015-06-16

2015-06-16

We have updated the data available on the PomBase web site to include manual curation through May 26, 2015, including 270 community-curated publications. See you at Pombe 2015 in Kobe!

Canto downtime & new version

2015-05-26

Canto, PomBase’s literature curation tool, will be unavailable for approximately 3 weeks starting at 12:00 midnight UK time (BST) tonight, 27 May 2015, while we deploy an upgraded version.

The upgraded Canto will feature an entirely new interface for annotating multi-allele phenotypes and the corresponding genotypes, as well as improved workflows for single-allele phenotypes, GO, etc. All existing annotations will be retained, and users can resume curation using the new and improved features in any unfinished sessions when Canto is back online.

We will announce when the new version of Canto is released to the public.

PomBase data update 2015-05-26

2015-05-26

We have updated the data available on the PomBase web site to include manual curation through May 8, 2015, including 265 community-curated publications.

Pombe 2015 travel fellowships

2015-04-23

Applications are now being accepted for fellowships to provide financial support for students and postdocs attending the 8th International Fission Yeast Meeting in Kobe, Japan. To apply, follow the instructions sent to the pombase mailing list. The deadline is may 17, 2015 (same as the registration deadline).

PomBase data update 2015-04-19

2015-04-19

We have updated the data available on the PomBase web site to include manual curation through April 7, 2015, including 260 community-curated publications.The Advanced Search now supports queries for proteins with a specified number of transmembrane domains.

Pombe 2015 poster abstract deadline extended

2015-04-19

The abstract submission deadline for the 8th International Fission Yeast Meeting in Kobe, Japan has been extended until midnight Friday, April 24 for posters only. Registration is open until May 17.

Pombe 2015 abstract deadline approaching

2015-04-09

Abstracts are due on Sunday, April 19, 2015 for the 8th International Fission Yeast Meeting in Kobe, Japan. Registration will remain open until May 17, but the abstract submission deadline cannot be extended.

PomBase data update 2015-03-23

2015-03-23

We have updated the data available on the PomBase web site to include manual curation through March7, 2015, including 250 community-curated publications.The autocomplete feature of the Advanced Search ontology term filter has been improved with respect to response time and relevance of suggested terms.

Pombe 2015 registration now open

2015-02-26

Registration for Pombe 2015: 8th International Fission Yeast Meeting is now open at the conference web site, https://amarys-jtb.jp/web/Pombe2015/index.html

The registration deadline is 17 May 2015.

Thanks to Yasushi Hiraoka for this item.

PomBase data update 2015-02-16

2015-02-16

We have updated the data available on the PomBase web site to include manual curation through February 2, 2015, including 245 community-curated publications. On the gene pages, the interaction tables now provides a bit of descriptive text for each annotation, indicating the nature and direction of the interaction.

PomBase data update 2015-01-26

2015-01-26

We have updated the data available on the PomBase web site to include manual curation through January 12, 2015, including 240 community-curated publications. The gene page Phenotype section now features a compact default display. A downloadable “viability summary” data file is now available. The PomBase BLAST server has incorporated interface changes made Ensembl-wide.

New compact GO annotation display

2014-12-10

To make the Gene Ontology (GO) annotations easier to read on PomBase gene pages, we have introduced a new, streamlined display that presents just the essentials. The summary shows the term name (hyperlinked to the ontology term page), the count of genes annotated to the term, and any annotation extensions. All of the previously visible annotation details are still available – simply click the “Summary” button to switch to the “Full” view. Or click the “+” and “-” icons to expand or collapse the annotation to a single term.
 
In addition, the top of the Biological Process table now lists any GO slim terms applicable to the gene.

esyN network visualizations in PomBase

2014-12-10

PomBase has implemented network visualisations for fission yeast in esyN, using data curated by BioGRID and PomBase. esyN is a web-based tool for building, sharing, and viewing network data developed by Dan Bean and Giorgio Favrin in the Cambridge Systems Biology Centre, University of Cambridge, UK.

On gene pages, we have links to gene-specific interaction networks in esyN in the table headers of the Interactions sections:

  • The Genetic Interactions section links to all interactions centred on the gene and curated in BioGRID
  • The Physical interactions section has links to two datasets:

We also have esyN links on the GO Slim page and on ontology term pages for GO Slim biological process terms. Each GO Slim term links to the HCPIN physical interaction network in esyN (for example, see the “regulation of mitotic cell cycle” network).

PomBase data update 2014-11-12

2014-11-12

We have updated the data available on the PomBase web site to include manual curation through October 27, 2014, including 225 community-curated publications. The gene page Phenotype section now includes data from the high-throughput microscopy analysis of viable deletion mutants reported in:

Graml V, Studera X, Lawson JL, Chessel A, Geymonat M, Bortfeld-Miller M, Walter T, Wagstaff L, Piddini E, Carazo-Salas RE. A Genomic Multiprocess Survey of Machineries that Control and Link Cell Shape, Microtubule Organization, and Cell-Cycle Progression. Dev Cell. 2014 Oct 27;31(2):227-39. doi: 10.1016/j.devcel.2014.09.005 PMID:25373780. Links to the accompanying SYSGRO resource have been added to the External References section of the gene pages.

The genome browser now includes tracks for intron branch point data from:

Bitton DA, Rallis C, Jeffares DC, Smith GC, Chen YY, Codlin S, Marguerat  S, Bähler J. LaSSO, a strategy for genome-wide mapping of intronic  lariats and branch points using RNA-seq. Genome Res. 2014 Jul;24(7):1169-79. doi: 10.1101/gr.166819.113 PMID:24709818.

We have greatly improved search results for GO and FYPO annotations: both now follow more relationship types within the ontology to retrieve genes annotated to a term. The PomBase GO search now includes the regulates relationships, so its search results are consistent with those in the GO Consortium’s AmiGO browser. The FYPO search now uses has_part, has_output, and output_of as well as is_a and part_of. The Phenotype section now includes a highlighted sub-header that indicates whether a deletion mutant is viable or inviable. A file of protein complex subunits is available for download, and numerous smaller improvements have been made in the gene pages and static pages.

PomBase data update 2014-09-16

2014-09-16

We have updated the data available on the PomBase web site to include manual curation through August 30, 2014. Community curation now covers over 200 papers.

PomBase data update 2014-08-18

2014-08-18

We have updated the data available on the PomBase web site to include manual curation through August 8, 2014. Community curation now covers over 190 papers. Gene pages now include links to the S. pombe PeptideAtlas, a database of peptides identified in tandem mass spectrometry proteomics experiments.

PomBase data update 2014-07-17

2014-07-17

We have updated the data available on the PomBase web site to include manual curation through July 8, 2014. The gene pages also now display protein modification data from an additional large-scale dataset:

Koch A, Krug K, Pengelley S, Macek B, Hauf S. 2011. Mitotic substrates of the kinase aurora with roles in chromatin regulation identified through quantitative phosphoproteomics of fission yeast. Sci Signal. 4(179): rs6 doi: 10.1126/scisignal.2001588 PMID:21712547

We have also made corrections to some residue positions affected by sequence updates in one of the modification datasets we added last month:

Carpy A, Krug K, Graf S, Koch A, Popic S, Hauf S, Macek B. 2014. Absolute proteome and phosphoproteome dynamics during the cell cycle of fission yeast. Mol Cell Proteomics. 2014 Apr 23. [Epub ahead of print] PMID:24763107

PomBase data update 2014-07-08

2014-07-08

We have updated the data available on the PomBase web site. The data now includes manual curation through June 6, 2014. In other improvements, a downloadable file of intron sequence data (FASTA format) is now available, and phenotypes are now included in the Target Of section on gene pages.

The gene pages also now display protein modification data from two large-scale datasets:

  • Wilson-Grady JT, Villén J, Gygi SP. 2008 .Phosphoproteome analysis of fission yeast. J Proteome Res. 2008 Mar;7(3):1088-97. doi:10.1021/pr7006335. PMID:18257517
  • Carpy A, Krug K, Graf S, Koch A, Popic S, Hauf S, Macek B. 2014. Absolute proteome and phosphoproteome dynamics during the cell cycle of fission yeast. Mol Cell Proteomics. 2014 Apr 23. [Epub ahead of print] PMID:24763107

Link updated 2021-02-04

Gene Ontology publication on annotation extensions

2014-06-29

PomBase was an early adopter of annotation extensions, which add spatial, temporal, or substrate/target details to GO annotations. The GO Consortium has now published a paper describing its implementation of annotation extensions, in which PomBase examples and its gene page display figure prominently:

Huntley, R.P. et al. (2014) A method for increasing expressivity of Gene Ontology annotations using a compositional approach. BMC Bioinformatics 2014, 15:155. doi:10.1186/1471-2105-15-155 PMID:24885854

PomBase data update 2014-05-15

2014-05-15

We have updated the data available on the PomBase web site. The data now includes manual curation through April 28, 2014. Transcriptome data from Margeurat et al (2012) is now available as Ensembl Browser tracks.

Thank you to all who have done, or are doing, paper curation in Canto. Over 159 community-curated papers are now included in PomBase.

There are a number of routes to accelerate your data into PomBase, (either through community curation, or by supplying HTP sequence, modification or phenotype data in one of our specified formats), see http://www.pombase.org/submit-data for more details.

As usual, please don’t hesitate to alert us of any other problems with data or site performance, or if you have any questions.

Sincerely yours,
The PomBase Staff

PomBase data update 2014-03-20

2014-03-20

Data on the PomBase web site now includes manual curation through February 24, 2014. Human orthologs that went missing from gene pages have been restored, and other small improvements have been made to gene pages. Community curation now covers over 130 publications.

PomBase data update 2014-02-20

2014-02-20

We have once again updated the data available on the PomBase web site. The data now includes manual curation through January 10, 2014, and covers over 100 papers that have been curated in Canto by community members. We again thank all who have contributed curation via Canto.

We have made some improvements to the gene pages. Highlights:

  • The Sequence section now has links to NCBI BLAST as well as Ensembl BLAST.
  • The External References section now links to the Pomb(A) polyadenylation viewer.

In the genome browser, new data tracks are now available for data from these publications:

  • Rhind N, [and many more]. 2011. Comparative functional genomics of the fission yeasts. Science 332(6032):930-6. doi: 10.1126/science.1203357. PMID:21511999
  • Schlackow M, Marguerat S, Proudfoot NJ, Bähler J, Erban R, Gullerova M. 2013. Genome-wide analysis of poly(A) site selection in Schizosaccharomyces pombe. RNA. 19(12):1617-31. doi:10.1261/rna.040675.113. PMID:24152550
  • Soriano I, Quintales L, Antequera F. 2013. Clustered regulatory elements at nucleosome-depleted regions punctuate a constant nucleosomal landscape in Schizosaccharomyces pombe. BMC Genomics. 14:813. doi:10.1186/1471-2164-14-813. PMID:24256300 (partial data;  remainder coming in the next update)
  • Xu J, Yanagisawa Y, Tsankov AM, Hart C, Aoki K, Kommajosyula N, Steinmann KE, Bochicchio J, Russ C, Regev A, Rando OJ, Nusbaum C, Niki H, Milos P, Weng Z, Rhind N. 2012. Genome-wide identification and characterization of replication origins by deep sequencing. Genome Biol. 13(4):R27. doi:10.1186/gb-2012-13-4-r27. PMID:22531001

Now that more data tracks are available, we have added some categories to the track configuration section to improve organization. Additional documentation is in preparation, and will be announced here when available.

Genome sequences for additional Schizosaccharomyces species (S. japonicus, S. octosporus, and S. cryophilus) have recently become available in Ensembl Fungi, and the PomBase genome browser now includes comparative genomics data, with a view of region comparisons between each new genome and S. pombe.

Human ortholog data correction coming next month

2014-02-19

We are about to release a data update for PomBase. Please note that there is still a problem with the human orthologs, as originally described on this list in mid-December (see archived message at http://listserver.ebi.ac.uk/pipermail/pombelist/2013/003926.html). We will correct this problem in the next PomBase release, and apologise for any inconvenience in the meantime.

PomBase data update 2013-12-08

2013-12-08

We have updated the data available on the PomBase web site to include manual curation through November 11, 2013. We now have future meetings available as a calendar or a list. The FAQ and some documentation pages have also been updated.

2021-08-18: Updated to remove out-of-date links (events are now listed only as news items).

2013 meeting mini-reviews published

2013-11-24

A series of mini-reviews, which were invited in association with the International Fission Yeast Meeting in London, have now been published in Biochemical Society Transactions: http://www.biochemsoctrans.org/bst/041/6/default.htm#c

(Thanks to Jürg Bahler for this item)

PomBase survey results available

2013-11-20

The 2013 PomBase user survey closed at the end of October, and the results are available here (PDF at FTP site). Some highlights have been sent to the pombe mailing list. Many thanks to all who completed the survey.

Link updated 2021-02-04

New “Target Of” gene page section

2013-10-27

With the October 2013 update, gene pages now include “Target Of” annotations, which describe genes that affect the gene of interest. These annotations are essentially the reciprocal of ontology annotation extensions. Each “Target Of” annotation includes a relationship that indicates how the genes are connected, the name and product of the second gene, and a reference. Genes listed under “Target Of” may include upstream regulators or enzymes that modify the product of the gene of interest. For example, the “Target Of” annotations for cdc2 indicate that it is a substrate of, and regulated by, the kinase Wee1 and the phosphatase Cdc25 (among others). At present, “Target Of” data includes annotations derived from GO annotation extensions. We will soon extend it to include data from phenotype annotation extensions.

PomBase data update 2013-10-21

2013-10-21

The PomBase web site has been updated and now includes manually curated data through October 6, 2013. The number of community-curated papers continues to increase, ensuring that PomBase gene pages contain complete and up-to-date information. We are also pleased to announce that data tracks are now available in the genome browser for data from these two publications:

  • Woolcock KJ, Gaidatzis D, Punga T, Bühler M. 2010. Dicer associates with chromatin to repress genome activity in Schizosaccharomyces pombe. Nat Struct Mol Biol. 2011 Jan;18(1):94-9. doi: 10.1038/nsmb.1935 PMID:21151114
  • Mata J. 2013. Genome-wide mapping of polyadenylation sites in fission yeast reveals widespread alternative polyadenylation. RNA Biol. 2013 Aug 1;10(8):1407-14. doi: 10.4161/rna.25758 PMID:23900342

PomBase User Survey open

2013-09-18

To guide current and future development, PomBase is now conducting a user survey, where we invite the fission yeast research community and any other PomBase users to evaluate the resources provided so far and comment on future priorities. The survey should take about 10 minutes to complete. Thank you for your participation!

https://www.surveymonkey.com/s/NDM2BQX

PomBase data update 2013-09-15

2013-09-15

We have once again updated the data available on the PomBase web site. The data now includes manual curation through August 11, 2013. We are particularly pleased to note that this update includes annotations from several dozen papers curated by the S. pombe community. Many thanks to all who have done, or are doing, paper curation in Canto.

We also have an updated version of the S. pombe/human ortholog table available upon request.

Send HTP data to PomBase

2013-08-18

At the pombe 2013 meeting in London, PomBase staff received numerous requests display various published data, such as gene expression, histone modifications, etc. in the genome browser. To provide this, we now invite pombe researchers to send data: If you have published any high-throughput experiments that produced data  that can be associated with genome sequence coordinates, and thereby displayed as tracks on the PomBase genome browser, please fill out the HTP Data Submission Form. We can also accept large sets of phenotype data via the Phenotype Data Submission Form. If you have any problems or questions, contact us via the PomBase Helpdesk at any time.

Connecting With PomBase

2013-07-29

To complement the mailing list and twitter (@PomBase) it is now possible to follow the activities of PomBase and interact with other members of the pombe community via the new LinkedIn Group and Google+.

Links to these are also available from the front page of the PomBase.org site.

pombelist has moved

2013-07-21

Update: This item dates from July 2013, and the links in it no longer work. \ Please see the Fission Yeast Community page for the current mailing list link. \ (2020-02-18)

The pombe community mailing list, pombelist, has migrated from the Wellcome Trust Sanger Institute and is now hosted by EBI. The new address is (please note that the old address no longer works, and will generate an automatic notification including the new address). The link to subscribe has also been updated, and the entire archive is available at the new location.

PomBase website update

2013-07-18

We’d like to highlight a few improvements we’ve just made to the PomBase website. Most of the changes affect the gene pages:

  • The basic information display at the top of each gene page is more compact.
  • For ontology annotations, the number of genes annotated is now shown, in a column labeled “Count” (also, changes behind the scenes involving this data mean that pages should load faster).
  • Annotation extensions for GO are displayed using human-friendly text instead of internal “relation” labels.
  • The Quick Links box can now be collapsed and expanded by clicking its header.
  • Display of modification annotations using PSI-MOD is improved.

In addition, the Motif Search output now includes standard gene names and product descriptions. As we noted in a separate message, CDS coordinate files are once again available from the Downloads, with accurate and up-to-date data.

PomBase launches community curation

2013-06-23

At the pombe 2013 conference in London, PomBase officially launched its community curation initiative, which allows researchers to contribute publication-based annotations directly to the database. PomBase curators invite lab heads by individual email to curate newly published papers, providing links to the online curation system and its documentation. Researchers can also initiate curation of any older fission yeast publication in PubMed. Community curation uses the open-source online tool Canto.

PomBase data update 2013-06-20

2013-06-20

PomBase data now includes manual curation through June 9, 2013, and represents complete annotation for 664 publications (as well as partial curation of many more). A highlight of this month’s literature curation update is the addition of over 9400 phenotype annotations, representing about 95% of the phenotype data from the recently published genome-wide study of cell cycle and cell morphology (Hayles et al. Open Biology May 2013; PMID:23697806). We have also improved the display of allele details for phenotype annotations. Other changes include better support for gene synonyms in the simple search, regular updates to the UTR data files, and a number of minor adjustments to external links in the annotation data tables and the external references section.

PomBase data update

2013-05-20

We have updated the data available on the PomBase web site. The data now includes manual curation through 13 May, 2013.

GeneDB S. pombe decommissioned

2013-05-13

As of 14 May 2013, the old GeneDB database for S. pombe is no longer available. This resource consisted of static web pages, was not updated after March 2012, and not supported by an underlying relational database. The PomBase site fully supersedes GeneDB S. pombe, and provides improved infrastructure that will meet the current and future needs of the fission yeast community. Please e-mail the helpdesk if you cannot find a replacement for any GeneDB functionality in PomBase.

Quantitative gene expression data available in PomBase

2013-05-07

We have extended the Gene Expression section of each gene page to support the display of quantitative expression data, and are now showing data from two publications:

  • Marguerat S, Schmidt A, Codlin S, Chen W, Aebersold R, BählerJ. 2012. “Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.” Cell 151:671-683.
  • Wu JQ, Pollard TD. 2005. “Counting cytokinesis proteins globally and locally in fission yeast.” Science 310:310-314.

We will also soon refine the display of the new expression data, and can add more datasets upon request. We thank Sam Marguerat for preparing the data from both papers for inclusion in PomBase.

We have also updated the PomBase site to include manual curation through April 4, 2013, and we have updated the “all gene names” file on the PomBase ftp site. The new file is available at
https://www.pombase.org/data/names_and_identifiers/gene_IDs_names.tsv

Link updated 2021-02-04

Carl Singer Foundation Established

2013-04-11

Carl Singer, who was an integral part of the yeast research community for many years, passed away on February 8, 2013. Throughout his career, Carl supported yeast research both with his engineering expertise and with his good cheer. In tribute to Carl, the Singer family has now set up The Carl Singer Foundation, a charitable foundation dedicated to supporting scientific education in the field of yeast genetics. Questions about the foundation may be directed to Harry Singer at harry [at] thecarlsingerfoundation.org.

Carl’s family would be happy to receive memories of Carl’s life at regards [at] singerinstruments.com.

H/T SGD

Pombe 2013: registration & abstracts by Mon 8th April

2013-04-02

Dear Pombe Fans,
      Please remember the imminent deadline (Monday 8th April) to register and submit abstracts for Pombe 2013: http://events.embo.org/13-pombe
      Abstracts are also required from all who have already been invited to talk.
      And do book your accommodation if you haven't yet done so.
      More details are in previous email forwarded below.
      Cheers,
      -Jürg & Jacky
      From: On Behalf Of Bahler, Jurg
      Sent: 18 March 2013 17:49
      To: pombelist at sanger.ac.uk
      Subject: [Pombelist] Pombe 2013: Accommodation, registration & abstracts
      Dear Pombe Afficionados,
      Only three weeks left to register and submit abstracts for Pombe 2013, by Monday 8th April: http://events.embo.org/13-pombe
      Speakers for 10 plenary talks and all workshop talks will be selected from abstracts, and there will be attractive poster prizes.
      Payment is only requested after registration, by 10th May.
      Important: if you require accommodation, please do book this real soon now. Especially the most cost-effective student accommodation (comfortable, with private bathrooms) may not be available much longer, as it will be put on general sale shortly. Both hotels and student accommodation will sell out in June, so you have to arrange it now. Information on accommodation is available here: http://events.embo.org/13-pombe/application.html
      We will provide a number of free registrations for which you can apply during online registration (a few of which are reserved for student members of The Genetics Society: you become eligible if you join them now). The meeting is also supported by the Biochemical Society, so if you are, or become, a member you can apply to them for student bursaries or, if you have been a member for at least 1 year, also for travel grants.
      We highly appreciate all the generous contributions from our sponsors so far:
      Platinum: EMBO
      Gold: Biochemical Society, Genetics Society, Formedium, Sunrise Science Products, Singer Instruments, F1000Research, PomBase/Wellcome Trust
      Silver: MDPI - Open Access Publishing, Hybrigenics, Infors, Life Technologies, Bioneer
      Bronze: Nature Communications, m2p labs, Imsol, Open Biology
      We look very much forward to welcoming you in London this June!
      All the best,
      -Jürg & Jacky

Data update on PomBase web site

2013-04-01

We have once again updated the data available on the PomBase web site. The data now includes manual curation through March 6, 2013.

We now expect to be able to update PomBase data every month, and will soon have an automated pipeline in place. We thank all of you for your patience during the long months when updates were infrequent.

You should also see a few small improvements in the site:

  • Ontology term pages now display the text definition for each term.
  • FASTA sequence retrieval should be quicker, and less likely to time out, for large gene lists.
  • There has been some tidying of the display of “extension” data for GO and phenotype annotations.

Last month we noted an intermittent problem with the “Reference” column display in the data tables. The occurrence of this problem should now be greatly reduced, so please let us know if you see it recurring.

As usual, please don’t hesitate to alert us of any other problems with data or site performance, or if you have any questions.

Speed improvements and new data on PomBase web site

2013-03-01

We have updated the data available on the PomBase web site. The data now includes manual curation through December 17, 2012, and reflects complete curation of an additional 70 papers.

We have also made some improvements “under the hood” that should make gene page loading much faster. Please let us know if you have any problems with gene pages loading slowly or incompletely, whether or not you have reported issues in the past.

We are aware that there is an intermittent problem with the “Reference” column display in the data tables – sometimes a PubMed ID appears instead of an author name and year. This problem will be fixed as soon as possible. Please alert us if you notice anything else odd or wrong.

New data and new features on PomBase web site

2012-11-06

We are pleased to announce that we have updated both data and web site features for PomBase.

Most importantly, we have added new data types, and upgraded the gene pages to display them.

We have also added more annotations of existing data types, bringing the web site content up to September 11, 2012. The new annotations include the first contributions to come in via the new community curation system, and we thank the researchers who are participating in the initial phase of community curation.

New annotation types:

  • Phenotype annotations now use the Fission Yeast Phenotype Ontology (FYPO), and include allele details, expression levels, and experimental conditions. With FYPO, more detailed phenotypes can be described, and links between terms for related phenotypes support improved phenotype searches.
  • Many GO annotations now include “annotation extensions” that provide additional specificity. For example, extensions may capture the substrate of a catalytic activity, the cell cycle phase during which a function or process occurs, or any of several other types of supporting information for the annotation. Annotation extensions are described in more detail below.

You can see these new data types on many gene pages, such as cdc2 or pka1.

New web site features:

  • Annotation display - Gene page GO and phenotype displays have been revamped to show new annotation types described above.
  • Ontology term pages - Each ontology term ID now links to pages with information about the term and lists of genes annotated to it.
  • Ontology graph links - GO and phenotype annotation sections now include links to graphical ontology displays in the genome browser.
  • Sequence highlighting - Sequence download now offers an option to show colour highlighting of regions such as UTRs, introns and exons.
  • Versions - Each gene page now shows the current data version in the format PomBase:x.y, where x is the Ensembl Genomes (EG) version, and y is the Chado version. The sequence, and sequence feature locations, remain stable within any EG version, whereas annotations change with each Chado update.
  • Protein family information is now included in the Protein Features gene page section.
  • The Protein Feature section includes a link to the Pfam entry for a protein.
  • Transcript source data (e.g. for UTR coordinates) is now displayed in the Transcript Features section.
  • A Documentation page contains links to relevant portions of the Ensembl Genomes documentation. (More documentation will be added over the coming months.)

What are annotation extensions?

Annotation extensions are a form of supporting data that can be added GO annotations (or other ontology annotations) to capture additional details not provided by the ontology term itself.

The information in GO annotation extensions encompasses several effector-target relationships, such as

  • localisation dependencies
  • substrates of functions, e.g. targets of a protein kinase – see the has_substrate extensions on Cdc2’s “protein serine/threonine kinase” (GO:0004674) annotations
  • activators and inhibitors
  • regulation targets of signalling pathways or transcription factors

Additional extensions describe spatial and temporal aspects of processes. For example, several S. pombe annotations now include extensions that indicate in which phase of the cell cycle a gene product is found in a cellular component or involved in a process – see the pka1 annotations to “nucleus” (GO:0005634) and “cytoplasm” (GO:0005737).

You may also find the GO wiki page on annotation extensions informative, although it is primarily aimed at curators.

Annotation extensions can also be used with phenotype annotations. The most common usage of phenotype annotation extensions is to capture which gene, protein, etc. was used in an assay. For example, the sam5 (G441E) mutation of pka1 causes nuclear accumulation of Ste11. This is represented by annotation to the ontology term “nuclear protein accumulation” (FYPO:0000255), with the extension “assayed_using(PomBase:SPBC32C12.02)”. Extensions can also indicate expressivity or penetrance for a phenotype.

PomBase web site fully live

2012-07-01

We are pleased to announce that the PomBase web site, www.pombase.org, is now fully live; the preview phase has ended. The site has been updated with an assortment of new features, datatypes, and bug fixes.

More recent data, reflecting additions and changes through March 20, 2012, are now available on gene pages and in search results.

The updated site features a Gene List Search that provides behavior equivalent to GeneDB’s List Download. You can now type or paste lists into the Gene Systematic IDs and Gene Names filters, and use the Query History to combine a gene list search with other search options. For convenience, there is a direct link to a search page pre-configured to accept a list of systematic IDs available in the Find menu, on the Find page, and here: http://www.pombase.org/spombe/query/builder?filter=12

The Advanced Search also now offers:

  • options to search GO, FYPO, and other ontologies by term name or ID;
  • autocomplete for ontology term name search;
  • ability to search for genes in a region, such as centromeres or telomeres;
  • improved organization of filter selections.

We have also fixed a Sequence Download error reported by some users, so that the “CDS”, CDS + UTRs”, and “CDS + UTRs + Introns” options now retrieve the correct sequences.

In addition, numerous minor improvements have been made. Please send any questions or comments on the PomBase web site to us at <>.

PomBase preview launch

2011-11-27

A preview of PomBase, the new model organism database for the fission yeast Schizosaccharomyces pombe, has been announced to the S. pombe community for testing and feedback. For more on PomBase, see the NAR Database Issue paper (PubMed abstract) or contact the PomBase staff.

PomBase NAR paper published online

2011-10-27

A paper describing PomBase has been published online will be included in the 2012 Database Issue of Nucleic Acids Research. Abstract and open access full text are available.

GeneDB (S. pombe) now uses the latest release of the Pfam protein family database(25.0).

2011-04-28

Schizosaccharomyces Comparative Genome Paper Published

2011-04-21

A paper describing the major findings of the Schizosaccharomyces Comparative Genome Project was published today in Science Express and reported changes are included in GeneDB.

Further details are described in the pombe mailing list posts:

Genome reappraisal reveals new genes and revised gene structures

2011-02-01

Further information on the pombe mailing list.

Annotated transcription start and termination sites for fission yeast

2011-01-31

Further details are available on the pombe mailing list.

Analysis of Fission Yeast Deletion Publication

2010-05-15

The analysis of the fission yeast deletion collection is now published online in Nature Biotechnology.

Funding for PomBase

2010-02-28

Funding was awarded by the Wellcome Trust for a fission yeast Model Organism Database, PomBase.

Fission yeast is one of the 12 key organisms of the reference genomes project

2009-11-30

Fission yeast is one of the 12 key organisms of the reference genomes project. The goal of this project is to completely annotate twelve reference genomes so that those annotations may be used to effectively seed the automatic annotation efforts of other genome.

GeneDB (S. pombe) now uses the latest update to Pfam, release 24.0

2009-10-31

GeneDB (S. pombe) now uses the latest update to Pfam, release 24.0 and 88.5% of fission yeast proteins now contain a match to at least one Pfam domain (increased from 83% in version 23).

Fission yeast in Ensembl Fungi

2009-09-30

The fission yeast genome and annotation dataset is now available as part of Ensembl Fungi.

GeneDB is now using Version 23 of the Pfam protein family database.

2009-08-31

GeneDB is now using Version 23 of the Pfam protein family database. A total of 4154 (83%) S. pombe proteins now have at least one Pfam domain or family assignment (compared to 76% for S. cerevisiae), the highest percentage coverage for any eukaryote.

Global sequence and chip study examines eukaryotic transcription

2008-04-30

Dynamic repertoire of the fission yeast transcriptome reveals: 94% of the genome is transcribed; extensive variation in different stages and conditions; global and condition-specific coupling between splicing efficiency and transcription; confirms the majority of introns; refines ~75 gene structures; identifies 453 new transcripts 26 of which were predicted to code for proteins.

The h- mating type region has been provided

2008-01-31

The h- mating type region has been provided by Xavier Marsellach and Lorena Aguilar.

Baumann and Zakian labs identify telomerase RNA

2007-12-31

Baumann and Zakian labs identify elusive telomerase RNA (PMID:18157152 and PMID:18157149)

Wellcome Trust Advanced Course ’Genome-wide approaches with fission yeast

2007-09-30

Wellcome Trust Advanced Course ‘Genome-wide approaches with fission yeast’ held in Hinxton.

4th International Fission Yeast Meeting

2007-05-31

4th International Fission Yeast Meeting held in Copenhagen.

GeneDB representation of the fission yeast data moved from contigs to chromosomes

2006-12-31

GeneDB representation of the fission yeast data moved from contigs to chromosomes. See the pombelist archive for details.

Yeast Special Issue from the 2006 European Fission Yeast Meeting

2006-09-30

The October issue of the journal Yeast is a fission yeast special issue containing 13 articles and reviews commissioned as a result of the European Fission Yeast Meeting, which are FREE to download.

The first fission yeast whole proteome localization study is now published

2006-06-30

The first fission yeast whole proteome localization study is now published: Matsuyama A. et al (2006): ORFeome cloning and global analysis of protein localization in the fission yeast Schizosaccharomyces pombe. Nat Biotech 24, 841-7.
 

Fission yeast database survey

2006-04-30

The fission yeast database survey is now closed. You can view the survey results here.

European Fission Yeast Meeting

2006-03-17

The European Fission Yeast Meeting (16th-18th March 2006) and The Fission Yeast Bioinformatics workshop (15th - 16th Mar 2006) both took place at the Wellcome Trust Genome Campus in Hinxton (Cambridge, UK).

Comparative Genomics of Eukaryotic Microorganisms

2005-11-16

Comparative Genomics of Eukaryotic Microorganisms:
Eukaryotic Genome Evolution, Approaches with Yeasts and Fungi


This conference took place from 12th-17th November 2005 in Sant Feliu de Guixols, Spain. Full details can be found here.

Second East Coast Regional pombe Meeting

2005-11-12

Second East Coast Regional pombe Meeting

This meeting took place from November 11-13, 2005 in Miami Beach, Florida.

General Repository for Interaction Datasets

2004-08-31

A project to record published genetic and physical interactions is underway with Mike Tyers and the GRID group at Toronto.

The Third International Fission Yeast Meeting

2004-08-29

The meeting was held at UC San Diego on August 24-29, 2004.

Methods Volume 33 Issue 3

2004-04-30

This issue of Methods includes 11 papers for fission yeast protocols including DNA damage checkpoint assays, cell wall analysis, TAP, nuclear envelope integrity assays, GFP imaging, TS mutant creation and plasmid use and construction. See the Methods site for details of the papers including PMIDs.

2021-08-18: Updated to remove out-of-date link.

Recent Genome wide surveys

2003-10-31

Correlations Between Gene Expression and Gene Conservation in Fission Yeast. Mata J, Bahler J. Genome Res. 2003 Nov 12 PMID:14613978

FELINES: a utility for extracting and examining EST-defined introns and exons. Drabenstot SD et al Nucleic Acids Res. 2003 Nov 15;31(22):e141. PMID:14602934

Genome-wide distribution of DNA replication origins at A+T-rich islands in Schizosaccharomyces pombe. Segurado M, De Luis A, Antequera F. EMBO Rep. 2003 Nov;4(11):1048-53. Epub 2003 Oct 17. PMID:14566325

Retrotransposons and their recognition of pol II promoters: a comprehensive survey… Bowen NJ et al Genome Res. 2003 Sep;13(9):1984-97. PMID:12952871

The ‘new’ fission yeast book is now published

2003-08-31

Egel, R., Copenhagen, Denmark (Ed.) The Molecular Biology of Schizosaccharomyces pombe Genetics, Genomics and Beyond ISBN:3-540-00693-1

Schizosaccharomyces pombe Essential Genes: A pilot Study

2003-02-28

Decottignies A, Sanchez-Perez I, Nurse P Genome Res. 2003 Mar;13(3):399-406. PMID:12618370

Global transcriptional responses of fission yeast to environmental stress

2002-12-31

Chen D, Toone WM, Mata J, Lyne R, Burns G, Kivinen K, Brazma A, Jones N, Bähler J. Mol Biol Cell. 2003 Jan;14(1):214-29. PMID:12529438

Centromeres

Repeats are also shown in the diagram below. To see the repeat sequences, download and unzip the contiguated sequence files and view them in Artemis. (See this FAQ for more information.)

Centromere map

Notes:

  • Recent work by Chad Ellermeier and Gerry Smith suggests that there are only 4 +/- 1 copies of the 6760 bp repeat missing from chromosome 3

  • This map is a schematic diagram. Distances and overlaps are approximate. Please refer to the sequence data to design experimental constructs.

  • Centromere map from Wood et al. 2002 The genome sequence of Schizosaccharomyces pombe. Nature 415(6874):871-80 (PMID:11859360). Created by Rhian Gwilliam.

Protein-coding gene characterisation status

Protein-coding gene characterisation status descriptions

Published: Completely or partially characterised in a small scale experiment, with some published information about the biological role (corresponding to any of the fission yeast GO biological process slim terms)

Biological role inferred: A biological role (as above, a fission yeast GO Process slim term) is inferred from homology to an experimentally characterised gene product

Conserved protein (unknown biological role): Conserved outside the Schizosaccharomyces, but nothing known about the biological role in any organism

Schizosaccharomyces specific protein, uncharacterized: Unpublished and found only in fission yeast (S. pombe, S. octosporus, S. japonicus, S. cryophilus); nothing known about biological role. May be single copy or a member of a multi-member family.

S. pombe specific protein, uncharacterized: Unpublished and found only in S. pombe (not detected in other Schizosaccharomyces species); nothing known about biological role

Dubious: Unlikely to be protein coding

Transposon: A predicted or experimentally verified transposable element.

Note: You can retrieve current lists of genes with each characterisation status using the advanced search. Select the Characterisation status query, then choose a status from the pulldown menu, and submit. A set of historical data recorded at various intervals is available.

Protein-coding gene characterisation statistics history

History of characterisation status using current status descriptions

(introduced with PomBase Chado release 46, August 2014):
Date Published Role inferred Conserved unknown Schizo. S. pombe Dubious Transposon Total
2022-12-31 2477 1931 385 155 103 69 13 5133
2021-08-31 2441 1953 390 164 117 55 13 5133
2020-09-11 2389 1985 408 162 121 55 13 5133
2019-12-31 2368 2010 406 162 122 55 13 5136
2018-10-05 2339 2035 410 163 122 55 13 5137
2017-01-30 2235 1996 511 180 145 54 13 5171
2016-09-12 2227 2034 503 190 149 55 13 5171
2015-01-19 2154 2050 529 178 143 76 13 5143
2014-09-17 2124 2066 537 183 143 77  13 5143

History of characterisation status using previous status descriptions:

Date Published Role inferred Conserved unknown S. pombe Orphan Dubious Transposon Total
2006-08-25 1560 2433 458 68 403 57   4979
2007-02-27 1607 2329 572 47 364 60   4979
2008-06-05 1715 2210 634 42 344 57   5002
2009-01-14 1812 2132 636 56 318 57   5011
2010-02-22 1848 2160 614 55 286 57   5020
2010-06-30 1916 2163 592 54 285 58 11 5025
2011-04-27 1916 2169 588 64 315 79 11 5142
2011-12-16 1936 2165 582 66 309 73 11 5142
2013-05-23 2012 2137 541 66 303 71 13 5143
2013-12-06 2083 2096 522 64 294 71 13 5143
2014-07-14 2110 2076 517 64 292 71 13 5143

Status Descriptions

Shorthand Full name Description Comment
Published Experimentally characterised (or published) Completely or partially characterised in a small scale experiment, with some published information about the biological role (corresponding to any of the fission yeast GO biological process slim terms)  
Role inferred Role inferred from homology A biological role (as above, a fission yeast GO process slim term) is inferred from homology to an experimentally characterised gene product  
Conserved unknown Conserved protein (unknown biological role) Conserved outside the Schizosaccharomyces, but nothing known about the biological role in any organism  
Schizo. Schizosaccharomyces specific protein, uncharacterised Unpublished and found only in fission yeast (S. pombeS. octosporus, S. japonicus, S. cryophilus); nothing known about biological role. May be single copy or a member of a multi-member family. Introduced Sept. 2014
S. pombe S. pombe specific protein, uncharacterised Unpublished and found only in S. pombe (not detected in other Schizosaccharomyces species); nothing known about biological role Introduced Sept. 2014 
Transposon      
Dubious   Unlikely to be protein coding  
S. pombe  S. pombe specific families Unpublished and found only in fission yeast (S. pombeS. octosporus, S. japonicus, S. cryophilus); nothing known about biological role, but are not single copy (duplications in fission yeast)  Used Aug. 2006-Aug. 2014
 Orphan Sequence orphan, uncharacterised Unpublished and found only in fission yeast (S. pombeS. octosporusS. japonicus, S. cryophilus); nothing known about biological role Used Aug. 2006-Aug. 2014

Gene coordinate changes

Gene coordinate changes

Protein coding genes

DateSystematic idPrimary nameBefore / after changeCoordinatesCommentReference
SPAC1F8.07cpdc101afterI:complement(join(101836..101872,101872..103544))
SPAC1F8.07cpdc101beforeI:complement(join(101836..101869,101872..103544))
SPBC17D1.06dbp3afterII:3338751..3340340
SPBC17D1.06dbp3beforeII:3338604..3340340
SPAC227.11cyos9afterI:complement(join(514552..515082,515222..515482,515534..515608))
SPAC227.11cyos9beforeI:complement(join(514552..515082,515222..515482))
SPBC1E8.04Tf2-10afterII:join(1965390..1967475,1967478..1969390)
SPBC1E8.04Tf2-10beforeII:join(1965390..1967475,1967478..1969387)
SPBP16F5.03ctra1afterII:complement(1894433..1905418)
SPBP16F5.03ctra1beforeII:complement(1894433..1905532)
SPAC9G1.07afterI:join(1983182..1984207,1984253..1984438)
SPAC9G1.07beforeI:1983182..1984438
SPBC3B8.10ina17afterII:join(3390968..3391069,3391178..3391304,3391351..3391382)
SPBC3B8.10ina17beforeII:join(3390968..3391069,3391178..3391413)
SPBP4H10.12afterII:join(2895800..2895823,2896001..2896459,2896516..2896587)
SPBP4H10.12beforeII:join(2895855..2895863,2896001..2896459,2896516..2896587)
SPAPB1E7.05gde1afterI:join(3293630..3293646,3293951..3297341)
SPAPB1E7.05gde1beforeI:3294111..3297341
SPAC22A12.08c.1crd1afterI:complement(join(1169936..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1beforeI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPBC16E9.16clsd90afterII:complement(join(1947985..1948955,1948954..1950048,1950048..1950255))
SPBC16E9.16clsd90beforeII:complement(join(1947985..1948952,1948954..1950048,1950048..1950255))
SPBC32F12.08cduo1afterII:complement(join(2797658..2798040,2798042..2798507))
SPBC32F12.08cduo1beforeII:complement(join(2797652..2798040,2798042..2798507))
SPCC417.03afterIII:join(1672003..1672051,1672243..1672364)
SPCC417.03beforeIII:join(1672003..1672051,1672243..1672332)
SPBC32H8.08comh5afterII:complement(join(1465811..1466035,1466138..1467057,1467311..1467317))
SPBC32H8.08comh5beforeII:complement(join(1465811..1466035,1466138..1467057,1467311..1467431))
SPAC23E2.02lsd2afterI:join(446770..449241,449295..450530)
SPAC23E2.02lsd2beforeI:join(446491..446513,446679..449241,449295..450530)
SPAC343.16lys2afterI:1675823..1677895
SPAC343.16lys2beforeI:1675730..1677895
SPBC16H5.11cskb1afterII:join(2277275..2277464,2277514..2279012,2279059..2279247)
SPBC16H5.11cskb1beforeII:join(2277215..2277464,2277514..2279012,2279059..2279247)
SPBC13A2.02nup82afterII:3400618..3403014
SPBC13A2.02nup82beforeII:3400603..3403014
SPBC13G1.14crns1afterII:complement(join(3727332..3727657,3727705..3727810,3727877..3728068))
SPBC13G1.14crns1beforeII:complement(join(3727332..3727657,3727705..3727810,3727877..3728176))
SPBC16A3.01spn3afterII:complement(join(4299042..4299794,4299858..4300036,4300263..4300452))
SPBC16A3.01spn3beforeII:complement(join(4299042..4299794,4299858..4300036,4300263..4300569))
SPBC25D12.05trm1afterII:3723455..3725029
SPBC25D12.05trm1beforeII:3723383..3725029
SPBC31F10.17cafterII:complement(join(3788317..3788649,3788725..3788775))
SPBC31F10.17cbeforeII:complement(join(3788317..3788649,3788725..3788799))
SPBC887.07mrpl38afterII:join(3551348..3551389,3551433..3551490,3551554..3551834)
SPBC887.07mrpl38beforeII:join(3551318..3551389,3551433..3551490,3551554..3551834)
SPBP8B7.05cnce103afterII:complement(3641216..3641950)
SPBP8B7.05cnce103beforeII:complement(3641216..3642202)
SPCC1259.12cgid1afterIII:complement(join(1056598..1056737,1056787..1057191,1057239..1057880,1057925..1058189))
SPCC1259.12cgid1beforeIII:complement(join(1056598..1056737,1056787..1057191,1057239..1057880,1057925..1058213))
SPCC126.15csec65afterIII:complement(join(2142679..2143055,2143109..2143331))
SPCC126.15csec65beforeIII:complement(join(2142679..2143055,2143109..2143373))
SPCC1620.10cwf26afterIII:join(2163220..2164118,2164159..2164165)
SPCC1620.10cwf26beforeIII:join(2163205..2164118,2164159..2164165)
SPCC1682.01qcr9afterIII:join(371284..371286,371353..371438,371498..371546,371612..371677)
SPCC1682.01qcr9beforeIII:join(371230..371286,371353..371438,371498..371546,371612..371677)
SPCC1682.05csrp68afterIII:complement(join(379065..379652,379728..380604,380660..380823))
SPCC1682.05csrp68beforeIII:complement(join(379065..379652,379728..380604,380660..380922,380969..381034))
SPCC569.03afterIII:complement(join(2430334..2430776,2430840..2431347))
SPCC569.03beforeIII:complement(join(2430334..2430776,2430840..2431524))
SPCC622.11lmb1afterIII:join(1417271..1417438,1417634..1418983)
SPCC622.11lmb1beforeIII:join(1417100..1417438,1417634..1418983)
SPCC825.04cnaa40afterIII:complement(1030256..1030828)
SPCC825.04cnaa40beforeIII:complement(1030256..1030870)
SPCP1E11.06apl4afterIII:2402067..2404577
SPCP1E11.06apl4beforeIII:2401980..2404577
SPBC14C8.01ccut2afterII:complement(2203316..2204206)
SPBC14C8.01ccut2beforeII:complement(2203316..2204221)
SPBC1703.06pof10afterII:join(2925563..2925620,2925675..2927554)
SPBC1703.06pof10beforeII:join(2925512..2925620,2925675..2927554)
SPBC1709.17met7afterII:join(1132227..1132253,1132300..1132431,1132741..1134042)
SPBC1709.17met7beforeII:join(1132170..1132253,1132300..1132431,1132741..1134042)
SPBC18E5.12cmas2afterII:complement(2096528..2098012)
SPBC18E5.12cmas2beforeII:complement(2096528..2098036)
SPBC19G7.04afterII:join(2349611..2349654,2349697..2350344,2350388..2350766)
SPBC19G7.04beforeII:join(2349593..2349654,2349697..2350344,2350388..2350766)
SPBC2A9.05ctvp23afterII:complement(join(2956469..2956904,2956966..2957132))
SPBC2A9.05ctvp23beforeII:complement(join(2956469..2956904,2956966..2957189))
SPBC30B4.08eri1afterII:join(1320740..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC30B4.08eri1beforeII:join(1320692..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC30D10.09chva22afterII:join(3083470..3083483,3083527..3083648,3083742..3084106)SPD:10/10A04
SPBC30D10.09cbeforeII:join(3083317..3083483,3083527..3083648,3083742..3084106)SPD:10/10A04
SPBC336.10ctif512afterII:complement(2758761..2759234)
SPBC336.10ctif512beforeII:complement(2758761..2759270)
SPBC337.16cho1afterII:join(1058422..1058951,1059007..1059067)
SPBC337.16cho1beforeII:join(1058347..1058951,1059007..1059067)
SPBC428.01cnup107afterII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..441975))
SPBC428.01cnup107beforeII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..442032))
SPBC428.18cdt1afterII:477431..478699
SPBC428.18cdt1beforeII:477365..478699
SPBC582.05cbrc1afterII:complement(join(426160..428547,428634..428771,428873..428896))
SPBC582.05cbrc1beforeII:complement(join(426160..428547,428634..428771,428903..429013))
SPBC582.07crpn7afterII:complement(430551..431744)
SPBC582.07crpn7beforeII:complement(430551..431780)
SPBC582.08alt1afterII:join(432595..433012,433204..434003,434057..434311)SPD:36/36B08
SPBC582.08beforeII:join(432550..433012,433204..434003,434057..434311)SPD:36/36B08
SPBC685.09orc2afterII:2782066..2783565
SPBC685.09orc2beforeII:2781958..2783565
SPBC8D2.10crmt3afterII:complement(join(1376341..1377734,1377814..1377909,1378224..1378266))
SPBC8D2.10crmt3beforeII:complement(join(1376341..1377734,1377814..1377909,1378224..1378365))
SPBC947.03cnaa38afterII:join(676761..676908,677057..677127)
SPBC947.03cnaa38beforeII:join(676629..676908,677057..677127)
SPAC1071.09cafterI:complement(3870660..3871427)
SPAC1071.09cbeforeI:complement(3870660..3871508)
SPAC17H9.04cdri1afterI:complement(2009905..2011695)remove MSKLPSPT
SPAC17H9.04cdri1beforeI:complement(2009905..2011719)remove MSKLPSPT
SPAC1952.03otu2afterI:join(4971189..4971548,4971595..4972137)
SPAC1952.03otu2beforeI:join(4971117..4971548,4971595..4972137)
SPAC1952.15crec24afterI:complement(join(4996030..4996763,4996904..4997171))
SPAC1952.15crec24beforeI:complement(join(4996030..4996763,4996904..4997222))
SPAC19A8.06pbr1afterI:complement(2475966..2477096)
SPAC19A8.06pbr1beforeI:complement(2475966..2477159)
SPAC1B2.03celo2afterI:complement(join(2811438..2812368,2812412..2812464))remove MDLTGAH to get /score=2039.31
SPAC1B2.03celo2beforeI:complement(join(2811438..2812368,2812412..2812485))remove MDLTGAH to get /score=2039.31
SPAC1B3.18cmrps18afterI:complement(4967223..4967756)
SPAC1B3.18cmrps18beforeI:complement(4967223..4967894)
SPAC1F12.09gpi17afterI:join(3818803..3818907,3818954..3819677,3819720..3820420)
SPAC1F12.09gpi17beforeI:join(3818668..3818907,3818954..3819677,3819720..3820420)
SPAC22F8.10csap145afterI:complement(4804630..4806387)
SPAC22F8.10csap145beforeI:complement(4804630..4806435)
SPAC23C11.17mdm28afterI:join(2167206..2167245,2167302..2168683)remove MKYPRTHIQFPS
SPAC23C11.17mdm28beforeI:join(2167170..2167245,2167302..2168683)remove MKYPRTHIQFPS
SPAC25B8.08afterI:4168263..4169984
SPAC25B8.08beforeI:4168212..4169984
SPAC26A3.09crga2afterI:complement(3348569..3352258)
SPAC26A3.09crga2beforeI:complement(3348569..3352396)
SPAC26F1.02pnn1afterI:complement(join(5181982..5182122,5182191..5182628))
SPAC26F1.02pnn1beforeI:complement(join(5181982..5182122,5182191..5182632,5182721..5182731))
SPAC26F1.14caif1afterI:5146273..5148000
SPAC26F1.14caif1beforeI:5146165..5148000
SPAC4G9.11ccmb1afterI:complement(2275578..2276177)
SPAC4G9.11ccmb1beforeI:complement(2275578..2276249)
SPAC4H3.06afterI:join(3837449..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.06beforeI:join(3837431..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC521.02wss1afterI:843296..844084
SPAC521.02wss1beforeI:843233..844084
SPAC589.02cmed13afterI:complement(join(3095075..3098590,3098626..3098667))truncated 40 AA
SPAC589.02cmed13beforeI:complement(join(3095075..3098590,3098626..3098781,3098878..3098883))truncated 40 AA
SPAC637.09rex1afterI:4555423..4557294
SPAC637.09rex1beforeI:4555399..4557294
SPAC688.09rim2afterI:join(3127689..3127813,3127862..3128780)
SPAC688.09rim2beforeI:join(3127647..3127813,3127862..3128780)
SPAP8A3.12ctpp2afterI:complement(5336815..5340471)
SPAP8A3.12ctpp2beforeI:complement(5336815..5340639)
SPAPB18E9.01trm5afterI:join(3974340..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975962,3976014..3976079)
SPAPB18E9.01trm5beforeI:join(3974310..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975962,3976014..3976079)
SPAC1002.01mrx11afterI:1798347..1798835remove final exon
SPAC1002.01mrx11beforeI:join(1798347..1798830,1798960..1799015)remove final exon
SPAC1002.12cafterI:complement(1818695..1820191)
SPAC1002.12cbeforeI:complement(1818695..1820338)
SPAC1002.17curg2afterI:complement(1831012..1831581)change MSTTTTVSAIRTVEE to MSNITISSHPV
SPAC1002.17curg2beforeI:complement(1831012..1831626)change MSTTTTVSAIRTVEE to MSNITISSHPV
SPAC1565.08cdc48afterI:join(1306457..1306512,1306569..1308942)
SPAC1565.08cdc48beforeI:join(1306439..1306512,1306569..1308942)
SPAC167.04pam17afterI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554791))
SPAC167.04pam17beforeI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554827))
SPAC17A5.02cdbr1afterI:complement(join(1754033..1754145,1754186..1754310,1754350..1755118,1755164..1755285,1755331..1755593))trim to MRVGVQGC
SPAC17A5.02cdbr1beforeI:complement(join(1754033..1754145,1754186..1754310,1754350..1755118,1755164..1755285,1755331..1755638))trim to MRVGVQGC
SPAC1A6.10tcd1afterI:1090729..1092135truncate at MAG (AA20)
SPAC1A6.10tcd1beforeI:1090678..1092135truncate at MAG (AA20)
SPAC227.11cyos9afterI:complement(join(514552..515082,515222..515482))
SPAC227.11cyos9beforeI:complement(join(514552..515082,515222..515482,515534..515674))
SPAC2F7.08csnf5afterI:complement(546664..548460)
SPAC2F7.08csnf5beforeI:complement(546664..548562)
SPAC30D11.03ddx27afterI:complement(join(1116057..1116202,1116247..1116367,1116415..1118292))trim to MET at AA41
SPAC30D11.03ddx27beforeI:complement(join(1116057..1116202,1116247..1116367,1116415..1118412))trim to MET at AA41
SPAC3H1.05ste24afterI:join(1938990..1939004,1939075..1940394)new start MGIL
SPAC3H1.05ste24beforeI:join(1938900..1939004,1939075..1940394)new start MGIL
SPAC3H1.12csnt2afterI:complement(1961710..1965063)
SPAC3H1.12csnt2beforeI:complement(1961710..1965105)
SPAC4G8.07ctrm2afterI:complement(join(774000..774023,774155..774403,774453..775290,775414..775513,775641..775863))
SPAC4G8.07ctrm2beforeI:complement(join(774000..774023,774155..774403,774453..775290,775414..775513,775641..776013))
SPAC56E4.04ccut6afterI:complement(join(1246095..1252807,1253430..1253460))trim to MET at AA34
SPAC56E4.04ccut6beforeI:complement(join(1246095..1252807,1253430..1253559))trim to MET at AA34
SPAC56F8.04cppt1afterI:complement(1133226..1134302)
SPAC56F8.04cppt1beforeI:complement(join(1133226..1134283,1134332..1134356))
SPAC57A7.12ssz1afterI:complement(join(1515089..1516663,1516789..1516866))
SPAC57A7.12ssz1beforeI:complement(join(1515089..1516663,1516789..1516914))
SPAC630.14ctup12afterI:complement(join(374683..375830,376094..376446,376844..376931,376993..377116))
SPAC630.14ctup12beforeI:complement(join(374683..375830,376094..376446,376844..376931,376993..377200))
SPAC4F10.02aap1afterI:join(4832911..4833160,4833257..4834428)PMID:34169534
SPAC4F10.02aap1beforeI:join(4832929..4833160,4833257..4834428)PMID:34169534
SPAC22A12.08c.1crd1afterI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1beforeI:complement(join(1170705..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.2crd1afterI:complement(join(1170705..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.2crd1beforeI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1afterI:complement(join(1170705..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1beforeI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC2E12.05wtf1afterI:join(5064781..5064919,5065087..5065332,5065380..5065610,5065652..5065705,5065760..5065836)pseudo->codingPMID:28631610,PMID:28631610
SPAC2E12.05wtf1beforeI:5064305..5066231pseudo->codingPMID:28631610
SPBC1706.02cwtf2afterII:complement(join(593185..593261,593368..593393,593437..593575))PMID:28631610, PMID:30991417,PMID:28631610
SPBC1706.02cwtf2beforeII:complement(join(593188..593261,593311..593368,593437..593575))PMID:28631610, PMID:30991417
SPCC162.04cwtf13afterIII:complement(join(1580123..1580268,1580319..1580381,1580422..1580613,1580650..1581006,1581055..1581327,1581559..1581694))PMID:28631610, PMID:30991417
SPCC162.04cwtf13beforeIII:complement(join(1580123..1580613,1580650..1581006,1581055..1581327,1581559..1581694))PMID:28631610, PMID:30991417
SPCC285.06cwtf17afterIII:complement(join(1805166..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806214))PMID:28631610, PMID:30991417,PMID:28631610
SPCC285.06cwtf17beforeIII:complement(join(1805166..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))PMID:28631610, PMID:30991417
SPCC285.07cwtf18afterIII:complement(join(1807004..1807131,1807182..1807244,1807285..1807476,1807513..1807836,1807885..1808157,1808396..1808534))PMID:28631610, PMID:30991417,PMID:28631610
SPCC285.07cwtf18beforeIII:complement(join(1807004..1807131,1807182..1807244,1807285..1807476,1807513..1807726,1807760..1807836,1807885..1808157,1808396..1808534))PMID:28631610, PMID:30991417
SPCC306.10wtf8afterIII:join(427445..427583,427752..427997,428047..428290,428336..428527,428568..428630,428681..428763)PMID:28631610
SPCC306.10wtf8beforeIII:join(427445..427583,427752..427997,428072..428290,428336..428527,428568..428630,428681..428763)
SPCC548.02cwtf3afterIII:complement(join(219185..219261,219315..219368,219409..219684,219734..219979,220148..220286))PMID:28631610, PMID:30991417,PMID:28631610
SPCC548.02cwtf3beforeIII:complement(join(219185..219261,219294..219368,219409..219684,219734..219979,220148..220283))PMID:28631610, PMID:30991417
SPCC548.03cwtf4afterIII:complement(join(221199..221344,221395..221457,221498..221689,221726..222016,222065..222337,222566..222701))PMID:28631610, PMID:30991417,PMID:28631610
SPCC548.03cwtf4beforeIII:complement(join(221199..221335,221395..221457,221498..221689,221726..222016,222065..222337,222566..222701))PMID:28631610, PMID:30991417
SPCC553.05cwtf6afterIII:complement(join(297140..297216,297266..297307,297349..297655,297705..297950,298119..298258))introduces stop codon at position 25PMID:28631610, PMID:30991417,PMID:28631610
SPCC553.05cwtf6beforeIII:complement(join(297354..297655,297705..297950,298119..298194))introduces stop codon at position 25PMID:28631610, PMID:30991417
SPCC576.16cwtf22afterIII:complement(join(2109178..2109281,2109333..2109395,2109436..2109608,2109645..2109923,2109973..2110221,2110391..2110528))introduces stop codon at position 50PMID:28631610,PMID:28631610
SPCC576.16cwtf22beforeIII:complement(join(2109181..2109395,2109432..2109608,2109645..2109923,2109973..2110221,2110391..2110528))introduces stop codon at position 50PMID:28631610
SPCC622.21wtf12afterIII:join(1401530..1401668,1401900..1402172,1402221..1402448,1402490..1402672)introduces stop codon at position 274PMID:30991417,PMID:28631610
SPCC622.21wtf12beforeIII:join(1401530..1401668,1401900..1402172,1402490..1402551,1402553..1402672)introduces stop codon at position 274PMID:30991417
SPCC736.05wtf7afterIII:join(320617..320755,320964..321335,321387..321523)PMID:28631610, PMID:30991417,PMID:28631610
SPCC736.05wtf7beforeIII:join(320608..320755,320964..321335,321387..321523)PMID:28631610, PMID:30991417
SPCC830.02wtf24afterIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182268,2182309..2182371,2182422..2182504)introduces stop codon at position 145PMID:28631610, PMID:30991417,PMID:28631610
SPCC830.02wtf24beforeIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182371,2182422..2182504)introduces stop codon at position 145PMID:28631610, PMID:30991417
SPMIT.03cox1-I2baftermitochondrial:6965..7816
SPMIT.03cox1-I2bbeforemitochondrial:<6845..7816
SPMIT.01cox1aftermitochondrial:join(4885..5288,6499..6843,7925..8792)
SPMIT.01cox1beforemitochondrial:join(4886..5289,6500..6844,7926..8790)
SPMIT.03cox1-I2baftermitochondrial:<6845..7816
SPMIT.03beforemitochondrial:<6966..7718
SPMIT.04cox3aftermitochondrial:8961..9770
SPMIT.04cox3beforemitochondrial:8947..9765
SPMIT.05cob1aftermitochondrial:join(10175..10858,13385..13864)
SPMIT.05cob1beforemitochondrial:join(10173..10856,13383..13862)
SPMIT.06aftermitochondrial:<10859..13282
SPMIT.06beforemitochondrial:10857..13280
SPMIT.07atp6aftermitochondrial:14758..15531
SPMIT.07atp6beforemitochondrial:14756..15529
SPMIT.11cox2aftermitochondrial:18563..19309
SPMIT.11cox2beforemitochondrial:18561..19307
SPBPB8B6.04cgrt1afterII:complement(join(49143..50910,50953..51062,51113..51181))
SPBPB8B6.04cgrt1beforeII:complement(join(49152..50910,50953..51062,51113..51181))
SPBC1271.09tgp1afterII:complement(350783..352369)
SPBC1271.09tgp1beforeII:complement(join(350692..350740,350787..352369))
SPBC1271.09tgp1afterII:complement(join(350692..350740,350787..352369))
SPBC1271.09tgp1beforeII:complement(350783..352369)
SPBC1271.09tgp1afterII:complement(350783..352369)
SPBC1271.09tgp1beforeII:complement(352200..352369)
SPBC1271.09tgp1afterII:complement(352200..352369)
SPBC1271.09tgp1beforeII:complement(join(350692..350740,350787..352369))
SPBPB8B6.04cgrt1afterII:complement(join(49152..50910,50953..51062,51113..51181))
SPBPB8B6.04cgrt1beforeII:complement(join(49143..50910,50953..51062,51113..51181))
SPBC577.05crec27afterII:complement(join(757566..757746,757796..757951,758002..758042))PMID:28469148
SPBC577.05crec27beforeII:complement(join(757566..757746,757796..757951,758130..758197))PMID:28469148
SPAC9G1.15cmzt1afterI:complement(1985350..1985544)
SPAC9G1.15cmzt1beforeI:complement(1985350..1985545)
SPBC530.13lsc1afterII:join(824374..824534,824579..824660,824874..824999,825065..825188,825245..825747)Frameshifted by Chr_II:825012!G→APMID:26615217; pers. comm. Li-Lin Du
SPBC530.13lsc1beforeII:join(824374..824534,824579..824660,824874..825011,825065..825188,825245..825747)Frameshifted by Chr_II:825012!G→APMID:26615217; pers. comm. Li-Lin Du
SPAC1071.01cpta1afterI:complement(join(3855626..3855790,3855792..3857792))Frameshifted by Chr_I:3855790!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC1071.01cpta1beforeI:complement(3855780..3857792)Frameshifted by Chr_I:3855790!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC12B10.09pet801afterI:join(4588487..4588510,4588567..4588723,4588869..4589323,4589410..4589574)PMID:26615217; pers. comm. Li-Lin Du
SPAC12B10.09pet801beforeI:join(4588250..4588510,4588567..4588723,4588869..4589323,4589410..4589574)PMID:26615217; pers. comm. Li-Lin Du
SPAC1486.05nup189afterI:join(3197028..3197529,3197529..3202450)Frameshifted by Chr_I:3197528!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPAC1486.05nup189beforeI:join(3197028..3197525,3197528..3202450)Frameshifted by Chr_I:3197528!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPAC29A4.03cmrps9afterI:join(5142407..5142626,5142626..5143224)Frameshifted by Chr_I:5142627!A→AGPMID:26615217; pers. comm. Li-Lin Du,SPD:03/03A08
SPAC29A4.03cbeforeI:join(5142407..5142628,5142631..5143224)Frameshifted by Chr_I:5142627!A→AGPMID:26615217; pers. comm. Li-Lin Du,SPD:03/03A08
SPAC29E6.03cuso1afterI:complement(join(4405990..4407494,4407494..4409096,4409171..4409338))Frameshifted by Chr_I:4407494!T→TGPMID:26615217; pers. comm. Li-Lin Du
SPAC29E6.03cuso1beforeI:complement(join(4405990..4407375,4407447..4409096,4409171..4409338))Frameshifted by Chr_I:4407494!T→TGPMID:26615217; pers. comm. Li-Lin Du
SPAC29E6.04nnf1afterI:join(4409773..4410190,4410192..4410391)Frameshifted by Chr_I:4410191!CG→CPMID:26615217; pers. comm. Li-Lin Du
SPAC29E6.04nnf1beforeI:join(4409773..4410192,4410194..4410391)Frameshifted by Chr_I:4410191!CG→CPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.06mvp1afterI:complement(join(3459233..3459436,3459492..3459665,3459705..3459897,3459941..3460185,3460234..3460318,3460318..3460372,3460425..3460442,3460508..3460560,3460642..3461263,3461323..3461583,3461766..3461859))Frameshifted by Chr_I:3460318!T→TPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.06mvp1beforeI:complement(join(3459233..3459436,3459492..3459665,3459705..3459897,3459941..3460185,3460234..3460364,3460425..3460442,3460508..3460560,3460642..3461263,3461323..3461583,3461766..3461859))Frameshifted by Chr_I:3460318!T→TPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.09sod22afterI:complement(join(3450056..3450130,3450132..3452269,3452485..3452608))Frameshifted by Chr_I:3450130!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.09sod22beforeI:complement(join(3450114..3452269,3452485..3452608))Frameshifted by Chr_I:3450130!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC688.08srb8afterI:join(3123163..3125118,3125118..3126310,3126356..3126653)Frameshifted by Chr_I:3125118!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPAC688.08srb8beforeI:join(3123163..3125057,3125099..3126310,3126356..3126653)Frameshifted by Chr_I:3125118!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPBC13E7.01cwf22afterII:join(3037988..3040332,3040332..3040650)Frameshifted by Chr_II:3040332!C→CGPMID:26615217; pers. comm. Li-Lin Du
SPBC13E7.01cwf22beforeII:join(3037988..3040331,3040334..3040650)Frameshifted by Chr_II:3040332!C→CGPMID:26615217; pers. comm. Li-Lin Du
SPBC14C8.09cdbl3afterII:complement(join(2219430..2219928,2219928..2220322))Frameshifted by Chr_II:2219928!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPBC14C8.09cdbl3beforeII:complement(join(2219430..2219934,2219937..2220322))Frameshifted by Chr_II:2219928!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPBC16D10.10tad2afterII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618920,3618968..3619003,3619003..3619071,3619113..3619321,3619366..3619540)Frameshifted by Chr_II:3619003!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC16D10.10tad2beforeII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618918,3618956..3619071,3619113..3619321,3619366..3619540)Frameshifted by Chr_II:3619003!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC16E9.16clsd90afterII:complement(join(1947985..1948952,1948954..1950048,1950048..1950255))Frameshifted by Chr_II:1948953!GA→G and Chr_II:1950050!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC16E9.16clsd90beforeII:complement(join(1947985..1948953,1948955..1950050,1950053..1950255))Frameshifted by Chr_II:1948953!GA→G and Chr_II:1950050!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC1A4.06ctam41afterII:complement(join(1987044..1987100,1987102..1987117,1987119..1987675,1987737..1988015,1988081..1988353))Frameshifted by Chr_II:1987101!CG→C and Chr_II:1987117!TG→TPMID:26615217; pers. comm. Li-Lin Du
SPBC1A4.06ctam41beforeII:complement(join(1987044..1987099,1987102..1987675,1987737..1988015,1988081..1988353))Frameshifted by Chr_II:1987101!CG→C and Chr_II:1987117!TG→TPMID:26615217; pers. comm. Li-Lin Du
SPBC1E8.03cafterII:complement(join(1960166..1960392,1960392..1961817))Frameshifted by Chr_II:1960392!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC1E8.03cbeforeII:complement(1960384..1961817)Frameshifted by Chr_II:1960392!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC23G7.06cafterII:complement(join(2106448..2108180,2108180..2108786))Frameshifted by Chr_II:2108180!T→TAPMID:26615217; pers. comm. Li-Lin Du
SPBC23G7.06cbeforeII:complement(join(2106448..2108178,2108181..2108786))Frameshifted by Chr_II:2108180!T→TAPMID:26615217; pers. comm. Li-Lin Du
SPBC29A3.08pof4afterII:join(2053033..2053517,2053517..2053823)Frameshifted by Chr_II:2053516!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPBC29A3.08pof4beforeII:join(2053033..2053517,2053519..2053600)Frameshifted by Chr_II:2053516!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPBC32F12.08cduo1afterII:complement(join(2797652..2798040,2798042..2798507))Frameshifted by Chr_II:2798040!CT→CPMID:26615217; pers. comm. Li-Lin Du
SPBC32F12.08cduo1beforeII:complement(2798007..2798507)Frameshifted by Chr_II:2798040!CT→CPMID:26615217; pers. comm. Li-Lin Du
SPBC4F6.10vps901afterII:join(2708076..2709414,2709414..2709793)Frameshifted by Chr_II:2709414!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPBC4F6.10vps901beforeII:join(2708076..2709415,2709418..2709793)Frameshifted by Chr_II:2709414!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPAC17G8.01ctrl1afterI:complement(join(2341346..2343703,2343703..2343756))Frameshifted by Chr_I:2343703!G→GAPMID:26615217; pers. comm. Li-Lin Du
SPAC17G8.01ctrl1beforeI:complement(join(2341346..2343706,2343754..2343756))Frameshifted by Chr_I:2343703!G→GAPMID:26615217; pers. comm. Li-Lin Du
SPAC3A12.04crpp1afterI:complement(join(1424660..1424708,1424710..1425161,1425231..1425329,1425372..1425430,1425478..1425562))Frameshifted by Chr_I:1424708!CA→CPMID:26615217, pers. comm. Li-Lin Du
SPAC3A12.04crpp1beforeI:complement(join(1424697..1425161,1425231..1425329,1425372..1425430,1425478..1425562))Frameshifted by Chr_I:1424708!CA→CPMID:26615217, pers. comm. Li-Lin Du
SPAC823.04rrp36afterI:join(2587729..2587897,2587952..2588025,2588025..2588066,2588066..2588620)Frameshifted by Chr_I:2588066!C→CA and Chr_I:2588021!C→CAPMID:26615217; pers. comm. Li-Lin Du
SPAC823.04rrp36beforeI:join(2587729..2587897,2587952..2588028,2588031..2588143,2588182..2588620)Frameshifted by Chr_I:2588066!C→CA and Chr_I:2588021!C→CAPMID:26615217; pers. comm. Li-Lin Du
SPAP27G11.10cnup184afterI:complement(join(1624885..1625092,1625092..1629753,1629825..1629841))Frameshifted by Chr_I:1625092!T→TCPMID:26615217; pers. comm. Li-Lin Du
SPAP27G11.10cnup184beforeI:complement(join(1625076..1629753,1629825..1629841))Frameshifted by Chr_I:1625092!T→TCPMID:26615217; pers. comm. Li-Lin Du
SPBC21B10.12rec6afterII:complement(join(1649038..1649472,1649558..1649727,1649815..1649878,1650043..1650156))PMID:26917764
SPBC21B10.12rec6beforeII:complement(join(1649038..1649472,1649558..1649671))PMID:26917764
SPAC22F3.11csnu23afterI:join(682874..682996,682998..683109,683160..683446)based on ribosome profilingPMID:22365419, PMID:24929437
SPAC22F3.11csnu23beforeI:join(682874..683034,683102..683109,683160..683446)based on ribosome profilingPMID:22365419, PMID:24929437
SPAC29A4.23afterI:join(5139024..5139190,5139192..5139424,5139427..5139575)Frameshifted; intron/exon boundary changes; coordinates changedPMID:26494834
SPAC29A4.23beforeI:join(5139024..5139190,5139225..5139425,5139455..5139575)Frameshifted; intron/exon boundary changes; coordinates changedPMID:26494834
SPAPB24D3.05cafterI:complement(join(2954983..2955219,2955222..2955353,2955360..2955377))
SPAPB24D3.05cbeforeI:complement(join(2954983..2955191,2955194..2955350))
SPCC622.17apn1afterIII:join(1435178..1435181,1435272..1435335,1435596..1435850,1435923..1436649)
SPCC622.17apn1beforeIII:join(1435178..1435335,1435596..1435850,1435923..1436649)
SPBC13G1.04cabh1afterII:complement(join(3732806..3732930,3732994..3733762))N-terminal shortened to use downstream methioninePMID:22365419
SPBC13G1.04cabh1beforeII:complement(join(3732806..3732930,3732994..3733777))N-terminal shortened to use downstream methioninePMID:22365419
SPAC1486.05nup189afterI:join(3197028..3197525,3197528..3202450)
SPAC1486.05nup189beforeI:join(3197028..3197528,3197528..3202450)
SPAC1486.05nup189afterI:join(3197028..3197528,3197528..3202450)pers. comm. Y. Hiraoka
SPAC1486.05nup189beforeI:join(3197028..3197443,3197530..3202450)pers. comm. Y. Hiraoka
SPAC1D4.08pis1afterI:join(650488..650545,651193..651848)based on ribosome profilingPMID:24929437
SPAC1D4.08pis1beforeI:join(650814..650893,651173..651848)based on ribosome profilingPMID:24929437
SPAC22F3.04mug62afterI:complement(join(698033..698177,698223..698441,698480..698841,698884..699104,699148..699363,699410..702557,702603..702755))based on ribosome profilingPMID:24929437
SPAC22F3.04mug62beforeI:complement(join(698033..698177,698223..698441,698480..698841,698884..699104,699148..699363,699410..702533))based on ribosome profilingPMID:24929437
SPCC320.09hem15afterIII:complement(join(149153..150163,150279..150323,150374..150589))based on ribosome profilingPMID:24929437
SPCC320.09hem15beforeIII:complement(join(149153..150163,150279..150323,150374..150472))based on ribosome profilingPMID:24929437
SPBC146.01med15afterII:join(996797..996870,996917..997019,997066..1000080)based on ribosome profilingPMID:24929437
SPBC146.01med15beforeII:join(996843..997019,997066..1000080)based on ribosome profilingPMID:24929437
SPBC27B12.10ctom7afterII:complement(join(1343913..1343934,1343989..1344025,1344082..1344157,1344214..1344237))based on ribosome profilingPMID:24929437
SPBC27B12.10ctom7beforeII:complement(join(1344032..1344157,1344214..1344237))based on ribosome profilingPMID:24929437
SPBC839.02afterII:597611..599125based on ribosome profilingPMID:24929437
SPBC839.02beforeII:join(597611..599124,599256..599334)based on ribosome profilingPMID:24929437
SPCC162.07ent1afterIII:complement(join(1571648..1573733,1574258..1574280))based on ribosome profilingPMID:24929437
SPCC162.07ent1beforeIII:complement(join(1571648..1573733,1574016..1574050))based on ribosome profilingPMID:24929437
SPCC417.03afterIII:join(1672003..1672051,1672243..1672332)based on ribosome profilingPMID:24929437
SPCC417.03beforeIII:join(1672003..1672051,1672111..1672364)based on ribosome profilingPMID:24929437
SPBC17G9.09tif213afterII:2187712..2189052
SPBC17G9.09tif213beforeII:join(2187712..2189052,2187712..2189052)
SPBC17G9.09tif213afterII:join(2187712..2189052,2187712..2189052)
SPBC17G9.09tif213beforeII:2187712..2189052
SPAC5H10.06cadh4afterI:complement(156548..157687)N-terminal shortened to use downstream methionine; removed 43 amino acids; UTR exon annotatedPMID:24003116
SPAC5H10.06cadh4beforeI:complement(156548..157816)N-terminal shortened to use downstream methionine; removed 43 amino acids; UTR exon annotatedPMID:24003116
SPBC3D6.04cmad1afterII:complement(join(1274979..1276897,1276948..1277059))N-terminal shortened to use downstream methionine; removed 13 amino acidspers. comm. Silke Hauf
SPBC3D6.04cmad1beforeII:complement(join(1274979..1276897,1276948..1277098))N-terminal shortened to use downstream methionine; removed 13 amino acidspers. comm. Silke Hauf
SPBC25B2.07cmmb1afterII:complement(2609038..2610543)N-terminal shortened to use downstream methioninePMID:21856157
SPBC25B2.07cmmb1beforeII:complement(2609038..2610591)N-terminal shortened to use downstream methioninePMID:21856157
SPAC9G1.15cmzt1afterI:complement(1985350..1985545)N-terminal shortened to use downstream methioninePMID:23885124, PMID:24006493
SPAC9G1.15cmzt1beforeI:complement(1985350..1985643)N-terminal shortened to use downstream methioninePMID:23885124, PMID:24006493
SPAC4A8.08cvrs2afterI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561714))
SPAC4A8.08cvrs2beforeI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561710))KEGG:MAP00290,KEGG:MAP00970
SPAC2F3.13cafterI:complement(join(3949057..3949921,3949997..3950178))removed N terminal region overlapping with plp1
SPAC2F3.13cbeforeI:complement(join(3947930..3948241,3948283..3948358,3948407..3948493,3948538..3948690,3948735..3949046,3949094..3949921,3949997..3950178))removed N terminal region overlapping with plp1
SPAC4A8.08cvrs2afterI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561710))
SPAC4A8.08cvrs2beforeI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561714))
SPBC1E8.04Tf2-10afterII:join(1965390..1967475,1967478..1969387)
SPBC1E8.04Tf2-10-pseudobeforeII:1965390..1969387
SPCC1494.11cTf2-13afterIII:complement(join(2320320..2322056,2322059..2324320))
SPCC1494.11cTf2-13-pseudobeforeIII:complement(2320320..2324320)
SPBC1861.08clea1afterII:complement(join(4145289..4145921,4145983..4146063))
SPBC1861.08clea1beforeII:complement(join(4145289..4145929,4145967..4145984))
SPBC1861.08clea1afterII:complement(join(4145289..4145929,4145967..4145984))
SPBC1861.08clea1beforeII:complement(join(4145289..4145929,4145985..4146063))
SPBC29A3.06afterII:join(2048228..2049892,2049894..2049896)N terminal extended
SPBC29A3.06beforeII:join(2048336..2049892,2049894..2049896)N terminal extended
SPBC30D10.16pha2afterII:complement(join(3064223..3065032,3065178..3065231))
SPBC30D10.16pha2beforeII:complement(join(3064223..3064932,3064978..3065032,3065178..3065231))
SPBPB10D8.03afterII:87727..89029
SPBPB10D8.03beforeII:join(87727..88101,88103..89029)
SPCC1281.07cafterIII:complement(1397625..1398638)N terminal extended by 24 amino acids
SPCC1281.07cbeforeIII:complement(1397625..1398566)N terminal extended by 24 amino acids
SPCC4B3.05chem12afterIII:join(1166559..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)N terminal extended by 4 amino acids based on homology
SPCC4B3.05chem12beforeIII:join(1166571..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)N terminal extended by 4 amino acids based on homology
SPCC622.17apn1afterIII:join(1435178..1435335,1435596..1435850,1435923..1436649)
SPCC622.17apn1beforeIII:join(1435250..1435335,1435596..1435850,1435923..1436649)
SPMIT.03aftermitochondrial:<6966..7718
SPMIT.03beforemitochondrial:<6845..7817
SPAC23A1.20new11afterI:complement(join(4100755..4101269,4101272..4101275))
SPAC23A1.20new11beforeI:complement(4100755..4101318)
SPAC24H6.06sld3afterI:complement(join(476549..478606,478655..478696))
SPAC24H6.06sld3beforeI:complement(join(476549..477542,477636..478606,478655..478696))
SPAC4G9.22afterI:2292013..2292297
SPAC4G9.22beforeI:2291983..2292297
SPBC11B10.10cpht1afterII:complement(1502642..1503061)
SPBC11B10.10cpht1beforeII:complement(1502642..1503157)
SPBC1711.10cnpl4afterII:complement(join(2152459..2152575,2152627..2154144,2154207..2154287,2154333..2154335))
SPBC1711.10cnpl4beforeII:complement(join(2152462..2152575,2152627..2154144,2154207..2154287,2154333..2154335))
SPCC622.17apn1afterIII:join(1435250..1435335,1435596..1435850,1435923..1436649)
SPCC622.17apn1beforeIII:join(1435178..1435181,1435272..1435335,1435596..1435850,1435923..1436649)
SPAC1002.12cafterI:complement(1818695..1820338)
SPAC1002.12cbeforeI:complement(1818695..1820191)
SPAC1002.17curg2afterI:complement(1831012..1831626)
SPAC1002.17curg2beforeI:complement(1831012..1831581)
SPAC105.01ckha1afterI:complement(join(1740616..1743124,1743299..1743378,1743421..1743501))
SPAC105.01ckha1beforeI:complement(join(1740616..1743124,1743299..1743378,1743421..1743503,1743536..1743560))
SPAC1093.03afterI:join(4613627..4613686,4613723..4614081,4614152..4614378,4614438..4614954,4614996..4616331)
SPAC1093.03beforeI:join(4613627..4613686,4613723..4614081,4614164..4614378,4614438..4614954,4614996..4616331)
SPAC10F6.10afterI:join(1225599..1225725,1225811..1225936,1226039..1227279)
SPAC10F6.10beforeI:join(1225599..1225725,1225811..1225936,1225967..1227279)
SPAC10F6.11catg17afterI:complement(1227416..1228651)
SPAC10F6.11catg17beforeI:complement(1227416..1228861)
SPAC11E3.03pcs1afterI:join(5286130..5286181,5286221..5286562,5286609..5286821,5286877..5287055)
SPAC11E3.03pcs1beforeI:join(5286289..5286562,5286606..5286821,5286877..5287055)
SPAC1296.06tah18afterI:join(719447..719581,719663..719740,719791..719888,719926..720024,720066..721410)
SPAC1296.06tah18beforeI:join(719447..719581,719663..719740,719906..720024,720066..721410)
SPAC12G12.15sif3afterI:complement(join(317431..317469,317514..318172,318221..318941))
SPAC12G12.15sif3beforeI:complement(join(317310..317462,317514..318172,318221..318941))
SPAC13F5.04cafterI:complement(join(2177582..2178355,2178693..2178887,2179020..2179117,2179380..2179482))
SPAC13F5.04cbeforeI:complement(join(2177582..2178355,2178446..2178505))
SPAC13G6.05ctrs33afterI:complement(join(181077..181436,181485..181574,181632..181749,182001..182194))
SPAC13G6.05ctrs33beforeI:complement(join(181077..181436,181485..181574,181632..181749,182001..182170))
SPAC13G6.06cgcv2afterI:complement(182976..186071)
SPAC13G6.06cgcv2beforeI:complement(182976..186029)
SPAC13G7.07arb2afterI:join(2309026..2309212,2309259..2309569,2309610..2309667,2309714..2309946,2309998..2310088,2310130..2310215)
SPAC13G7.07arb2beforeI:join(2309026..2309212,2309259..2309569,2309610..2309667,2309714..2309958)
SPAC140.01sdh2afterI:1895464..1896291
SPAC140.01sdh2beforeI:1895533..1896291
SPAC144.06apl5afterI:join(4664387..4664545,4664586..4664747,4664799..4666668,4666714..4666976,4667016..4667039)
SPAC144.06apl5beforeI:join(4664387..4664545,4664586..4664747,4664799..4666982)
SPAC14C4.02csmc5afterI:complement(join(5226406..5229417,5229467..5229632,5229701..5229753))
SPAC14C4.02csmc5beforeI:complement(join(5226406..5229417,5229467..5229652))
SPAC14C4.08mug5afterI:5243053..5243610
SPAC14C4.08mug5beforeI:5243071..5243610
SPAC15A10.06afterI:join(3688782..3688806,3689322..3689638,3689722..3690441,3690484..3691125)
SPAC15A10.06beforeI:join(3689230..3689260,3689322..3689638,3689722..3690441,3690484..3691125)
SPAC15A10.07afterI:3691391..3691879
SPAC15A10.07beforeI:3691307..3691879
SPAC1639.01cafterI:complement(join(251726..252337,252392..252752,253590..253714))
SPAC1639.01cbeforeI:complement(join(251726..251745,251863..252337,252392..252752,253590..253630))
SPAC1639.02ctrk2afterI:complement(join(256030..256134,256345..256370,256427..256445,256542..256612,256684..256750,256797..257009,257055..257070,257116..257135,257179..257181,257229..258184,258220..259120,259161..259315,259356..259461))
SPAC1639.02ctrk2beforeI:complement(join(256030..256134,256345..256370,256427..256445,256542..256612,256684..256750,256797..257009,257055..257070,257116..257135,257179..257181,257229..258184,258220..259120,259161..259406))
SPAC167.04pam17afterI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554827))
SPAC167.04pam17beforeI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554791))
SPAC167.09afterI:join(1558670..1558957,1559007..1559127,1559174..1559301)
SPAC167.09beforeI:join(1558670..1558957,1559007..1559147)
SPAC1687.17cafterI:complement(join(935249..935668,935747..935812,935860..935899,935943..935989))
SPAC1687.17cbeforeI:complement(join(935249..935668,935860..935899,935943..935989))
SPAC16A10.03cafterI:complement(join(3081568..3083850,3083902..3084081,3084125..3084190,3084230..3084244))
SPAC16A10.03cbeforeI:complement(join(3081568..3083850,3083902..3084081,3084125..3084244))
SPAC16A10.05cdad1afterI:complement(3089053..3089325)
SPAC16A10.05cdad1beforeI:complement(3089053..3089310)
SPAC16A10.06cnse2afterI:complement(join(3089583..3090047,3090163..3090285,3090533..3090697))
SPAC16A10.06cnse2beforeI:complement(join(3089583..3090047,3090112..3090285,3090533..3090697))
SPAC16E8.07cvph1afterI:complement(join(3510419..3512794,3512848..3512948,3513001..3513019))
SPAC16E8.07cvph1beforeI:complement(join(3510419..3512794,3512848..3512889))
SPAC16E8.11ctfb1afterI:complement(join(3520542..3520619,3520663..3521206,3521264..3521447,3521493..3522155,3522201..3522287,3522325..3522370))
SPAC16E8.11ctfb1beforeI:complement(join(3520542..3520619,3520663..3521206,3521264..3521447,3521493..3522120))
SPAC1751.04afterI:join(384320..384349,384480..384590,384986..385060,385125..385220)
SPAC1751.04beforeI:join(384627..384750,384812..384888,384986..385060,385125..385220)
SPAC1783.02cvps66afterI:complement(join(2189507..2189845,2189907..2190180,2190245..2190509,2190697..2190721))
SPAC1783.02cvps66beforeI:complement(join(2189507..2189845,2189907..2190180,2190245..2190509,2190566..2190674))
SPAC17A2.08cafterI:complement(join(3568267..3569092,3569141..3569226,3569292..3569368,3569443..3569539))
SPAC17A2.08cbeforeI:complement(3568267..3569079)
SPAC17A5.07culp2afterI:complement(join(1764336..1764792,1764877..1765113,1765168..1765272,1765342..1766188,1766337..1766530,1766589..1766644,1766691..1766711))
SPAC17A5.07culp2beforeI:complement(join(1764336..1764792,1764877..1765113,1765168..1765272,1765342..1766188,1766337..1766644,1766691..1766695))
SPAC17D4.04afterI:join(4729751..4729783,4729834..4729880,4729920..4730042,4730088..4731893,4731938..4731995)
SPAC17D4.04beforeI:join(4729888..4730042,4730088..4731897)
SPAC17G6.15cafterI:complement(join(3619344..3619703,3619808..3620143,3620184..3620257,3620371..3620480,3620529..3620554,3620595..3620657))
SPAC17G6.15cbeforeI:complement(join(3619344..3619703,3619808..3620143,3620184..3620257,3620371..3620480,3620529..3620626))
SPAC17G6.16cysh1afterI:complement(join(3621007..3621470,3621514..3622060,3622105..3623005,3623047..3623175,3623309..3623406,3623456..3623542,3623597..3623644))
SPAC17G6.16cysh1beforeI:complement(join(3621007..3621470,3621514..3622060,3622105..3623005,3623047..3623175,3623309..3623406,3623456..3623644))
SPAC17G8.05med20afterI:join(2350327..2350340,2350383..2350471,2350541..2351019)
SPAC17G8.05med20beforeI:join(2350408..2350471,2350541..2351019)
SPAC17G8.09shg1afterI:join(2357361..2357468,2357576..2357697,2357763..2357931)
SPAC17G8.09shg1beforeI:join(2357361..2357456,2357576..2357697,2357763..2357931)
SPAC17G8.15new1afterI:join(2348008..2348088,2348209..2348322,2348425..2348451)
SPAC17G8.15new1beforeI:join(2348008..2348088,2348209..2348331)
SPAC1805.03ctrm13afterI:complement(join(2775340..2776083,2776135..2776171,2776251..2776576))
SPAC1805.03ctrm13beforeI:complement(join(2775340..2776083,2776135..2776171,2776251..2776598,2776787..2776881))
SPAC186.04cafterI:complement(5538574..5539101)
SPAC186.04cbeforeI:complement(5538574..5539017)
SPAC18B11.03cafterI:join(312182..312212,312274..313586)
SPAC18B11.03cbeforeI:312264..313586
SPAC18G6.04cshm2afterI:complement(join(2217187..2218569,2218716..2218799))
SPAC18G6.04cshm2beforeI:complement(2217187..2218605)
SPAC1952.04cafterI:complement(join(4972426..4972662,4972852..4972922,4973017..4973030,4973244..4973335))
SPAC1952.04cbeforeI:complement(join(4972134..4972225,4972353..4972369,4972430..4972662,4972852..4972986))
SPAC1952.14cmrpl25afterI:complement(join(4993896..4993934,4994046..4994444))
SPAC1952.14cmrpl25beforeI:complement(4993998..4994444)
SPAC1952.16rga9afterI:join(4997617..4997719,4997775..4997935,4997988..4998734,4998777..4999017,4999068..4999154,4999207..4999233,4999274..4999672,4999708..4999955)
SPAC1952.16rga9beforeI:join(4997617..4997719,4997775..4997935,4997988..4999017,4999068..4999154,4999207..4999233,4999274..4999672,4999708..4999955)
SPAC19A8.04erg5afterI:complement(join(2480147..2481645,2481978..2482110))
SPAC19A8.04erg5beforeI:complement(join(2480147..2481645,2481978..2482104))
SPAC19G12.07crsd1afterI:complement(join(4053810..4054068,4054110..4054184,4054234..4054554,4054627..4054800,4054848..4054985,4055082..4055872,4055964..4056017))
SPAC19G12.07crsd1beforeI:complement(join(4053810..4054068,4054110..4054187,4054234..4054554,4054627..4054800,4054848..4054985,4055082..4055872,4055964..4056017))
SPAC19G12.17new10afterI:complement(join(4066258..4066328,4066387..4066491,4066623..4066652,4066728..4066785,4066837..4066858,4066943..4066971))
SPAC19G12.17new10beforeI:complement(join(4066258..4066328,4066387..4066491,4066623..4066652,4066728..4066785,4066837..4066858,4066903..4066940))
SPAC1A6.03cafterI:complement(join(1070061..1070138,1070205..1072127))
SPAC1A6.03cbeforeI:complement(join(1070061..1070138,1070205..1072013))
SPAC1B1.04cafterI:complement(join(3544727..3544801,3544849..3544920,3544971..3545250,3545315..3545861,3545919..3546701,3546740..3546914,3547052..3547152,3547267..3547279))
SPAC1B1.04cbeforeI:complement(join(3544813..3544920,3544971..3545250,3545315..3546741))
SPAC1B3.04cafterI:complement(join(4931313..4931351,4931503..4932927,4933016..4933510))
SPAC1B3.04cbeforeI:complement(join(4931482..4932927,4933016..4933510))
SPAC1B3.05not3afterI:join(4934663..4934684,4934731..4934768,4934831..4935025,4935082..4936749)
SPAC1B3.05not3beforeI:join(4934801..4935025,4935082..4936749)
SPAC1B3.13afterI:join(4951432..4951565,4951737..4954023)
SPAC1B3.13beforeI:join(4951450..4951565,4951737..4954023)
SPAC1D4.01afterI:639411..640175
SPAC1D4.01beforeI:639318..640175
SPAC20H4.05cafterI:complement(join(2119362..2119570,2119614..2119789,2119838..2119915,2119975..2120052,2120096..2120119,2120163..2120284))
SPAC20H4.05cbeforeI:complement(join(2119362..2119570,2119614..2119792,2119838..2119915,2119975..2120052,2120163..2120284))
SPAC212.06cafterI:join(18072..18306,18349..18557)
SPAC212.06cbeforeI:join(18042..18306,18349..18557)
SPAC212.12afterI:15855..16226
SPAC212.12beforeI:15993..16226
SPAC222.16ccsn3afterI:complement(join(979679..980026,980093..980239,980289..980378,980434..980532,980628..980774,980846..980898,980944..981076))
SPAC222.16ccsn3beforeI:complement(join(979679..980026,980093..980239,980289..980378,980434..980532,980628..980774,980846..980898,980944..981064))
SPAC227.11cafterI:complement(join(514552..515082,515222..515482,515534..515674))
SPAC227.11cbeforeI:complement(join(514552..515082,515222..515482,515534..515659))
SPAC22A12.13mug84afterI:1180254..1180841
SPAC22A12.13mug84beforeI:1180479..1180841
SPAC22E12.17cglo3afterI:complement(join(5053107..5054373,5054436..5054554,5054608..5054673))
SPAC22E12.17cglo3beforeI:complement(join(5053107..5054382,5054436..5054554,5054608..5054673))
SPAC22F3.11csnu23afterI:join(682874..683034,683102..683109,683160..683446)gene structure updatedPMID:21511999
SPAC22F3.11csnu23beforeI:join(682874..682994,682996..683109,683160..683446)gene structure updatedPMID:21511999
SPAC22G7.07cafterI:complement(747143..748402)
SPAC22G7.07cbeforeI:complement(747143..748384)
SPAC22H10.02afterI:join(2371752..2371809,2371877..2371965,2372103..2372372)
SPAC22H10.02beforeI:join(2371692..2371809,2371877..2371965,2372103..2372372)
SPAC22H10.03ckap114afterI:complement(join(2373144..2373263,2373303..2373376,2373413..2373583,2373626..2373744,2373792..2373961,2374002..2376223,2376280..2376385))
SPAC22H10.03ckap114beforeI:complement(join(2373144..2373263,2373303..2373355,2373413..2373583,2373626..2373744,2373792..2373961,2374002..2376223,2376280..2376385))
SPAC23A1.18cmrp51afterI:complement(4112685..4113596)
SPAC23A1.18cmrp51beforeI:complement(4112685..4113560)
SPAC23C11.04cpnk1afterI:complement(join(2138064..2138210,2138267..2138409,2138449..2138844,2138898..2139438))
SPAC23C11.04cpnk1beforeI:complement(join(2138064..2138210,2138267..2138844,2138898..2139438))
SPAC23C4.17afterI:join(1058395..1058415,1058465..1058514,1058623..1059777,1059838..1060104,1060143..1060670,1060709..1060745)
SPAC23C4.17beforeI:join(1058395..1058415,1058465..1058514,1058623..1059777,1059838..1060104,1060143..1060674)
SPAC23D3.09arp42afterI:complement(join(4353826..4355096,4355173..4355176))
SPAC23D3.09arp42beforeI:complement(4353826..4355118)
SPAC23D3.16afterI:join(4365700..4365734,4365789..4365844,4366009..4366163)
SPAC23D3.16beforeI:join(4365700..4365734,4365789..4365852)
SPAC23D3.17afterI:complement(join(4366509..4366563,4366611..4366693,4366770..4366868))
SPAC23D3.17beforeI:complement(join(4366509..4366563,4366611..4366753))
SPAC23H4.17csrb10afterI:join(1576854..1577836,1577902..1578028)
SPAC23H4.17csrb10beforeI:1576854..1577912
SPAC24C9.06cafterI:complement(join(3048409..3050745,3051375..3051407))
SPAC24C9.06cbeforeI:complement(3048409..3050745)
SPAC24C9.09afterI:3063767..3065191
SPAC24C9.09beforeI:3063770..3065191
SPAC25B8.06cafterI:complement(join(4164278..4164599,4164657..4165774))
SPAC25B8.06cbeforeI:complement(join(4164278..4164599,4164657..4165699))
SPAC26F1.14caif1afterI:5146165..5148000
SPAC26F1.14caif1beforeI:5146273..5148000
SPAC26H5.12rpo41afterI:4147739..4151203
SPAC26H5.12rpo41beforeI:4147841..4151203
SPAC29B12.08afterI:join(5428407..5428522,5429119..5431072)
SPAC29B12.08beforeI:join(5429038..5429045,5429119..5431072)
SPAC29B12.14cafterI:complement(5439849..5441621)
SPAC29B12.14cbeforeI:complement(5439849..5441594)
SPAC2C4.06cafterI:complement(join(4269367..4270554,4270616..4270674,4270736..4270871))
SPAC2C4.06cbeforeI:complement(join(4269367..4270554,4270631..4270674,4270736..4270871))
SPAC2C4.12cafterI:complement(4279873..4280970)
SPAC2C4.12cbeforeI:complement(4279873..4280958)
SPAC2F3.13cafterI:complement(join(3947930..3948241,3948283..3948358,3948407..3948493,3948538..3948690,3948735..3949046,3949094..3949921,3949997..3950178))
SPAC2F3.13cbeforeI:complement(join(3949057..3949921,3949997..3950178))
SPAC2F3.18cafterI:complement(join(3942299..3942364,3942506..3942669,3942775..3942802))
SPAC2F3.18cbeforeI:complement(join(3942299..3942364,3942506..3942730))
SPAC2G11.09afterI:join(823739..823784,823894..826229)
SPAC2G11.09beforeI:join(823755..823784,823869..826229)
SPAC31A2.05cmis4afterI:complement(join(391838..391915,391956..392612,392652..392787,392828..394611,394656..395123,395167..396502,396546..396741,396781..396889))
SPAC31A2.05cmis4beforeI:complement(join(391838..391915,391956..392612,392652..392787,392828..394611,394656..395123,395167..396502,396546..396741,396781..396877))
SPAC31A2.15cdcc1afterI:complement(join(418475..418720,418759..419220,419268..419502,419602..419732))
SPAC31A2.15cdcc1beforeI:complement(join(418537..419220,419268..419502,419602..419732))
SPAC31G5.15psd3afterI:join(3014466..3014555,3014595..3014663,3014720..3014947,3015007..3015472,3015515..3016560,3016601..3016775,3016826..3016967,3017011..3017698)
SPAC31G5.15psd3beforeI:join(3014466..3014663,3014720..3014947,3015007..3015472,3015515..3016560,3016601..3016775,3016826..3016967,3017011..3017698)
SPAC323.01cpos5afterI:complement(join(3907586..3908550,3908600..3908795))
SPAC323.01cpos5beforeI:complement(join(3907586..3908550,3908675..3908795))
SPAC323.06cuba5afterI:complement(join(3915615..3915698,3915746..3915821,3915865..3916072,3916108..3916298,3916340..3916527,3916569..3916873,3916913..3917102,3917140..3917303,3917347..3917459,3917497..3917531))
SPAC323.06cuba5beforeI:complement(join(3915615..3915698,3915746..3915821,3915865..3916021,3916108..3916298,3916340..3916527,3916569..3916873,3916913..3917102,3917140..3917303,3917347..3917459,3917497..3917531))
SPAC328.05afterI:join(3484678..3484698,3484736..3485065,3485241..3485342,3485382..3485483,3485582..3485974,3486056..3486502)
SPAC328.05beforeI:join(3484695..3484698,3484752..3485065,3485241..3485342,3485382..3485528,3485582..3485974,3486056..3486502)
SPAC343.08cmrp17afterI:complement(join(1653288..1653306,1653356..1653606,1653724..1653789))
SPAC343.08cmrp17beforeI:complement(join(1653288..1653306,1653356..1653606,1653724..1653783))
SPAC3A11.03afterI:join(3466834..3467475,3467608..3467835)
SPAC3A11.03beforeI:join(3466462..3466483,3466772..3467472,3467608..3467835)
SPAC3A11.04afterI:complement(join(3465309..3465444,3465542..3466006,3466165..3466313))
SPAC3A11.04beforeI:complement(join(3465309..3465444,3465542..3466006,3466165..3466274))
SPAC3C7.07cafterI:complement(join(2077280..2077384,2077424..2077684,2077726..2077796,2077843..2078366,2078421..2078486,2078528..2078559,2078614..2078730))
SPAC3C7.07cbeforeI:complement(join(2077280..2077384,2077424..2077684,2077726..2077796,2077843..2078366,2078421..2078486,2078528..2078550,2078695..2078730))
SPAC3F10.11cabc2afterI:complement(2837268..2841704)
SPAC3F10.11cabc2beforeI:complement(2837268..2841659)
SPAC3G6.03cafterI:complement(join(5383955..5384083,5384207..5384530,5384630..5384758,5385010..5385153))
SPAC3G6.03cbeforeI:complement(join(5383955..5384083,5384207..5384530,5384630..5384758,5385010..5385138))
SPAC3H5.08cafterI:join(3425966..3426104,3426211..3428390,3428428..3428910)
SPAC3H5.08cbeforeI:join(3426306..3428390,3428428..3428910)
SPAC3H5.09cafterI:3416722..3424821
SPAC3H5.09cbeforeI:3416764..3424821
SPAC458.04cdil1afterI:complement(join(4737605..4738147,4738189..4738283,4738330..4738554,4738597..4738740,4738779..4738854))
SPAC458.04cdil1beforeI:complement(join(4737605..4738147,4738189..4738283,4738330..4738740,4738779..4738854))
SPAC458.07tfa1afterI:join(4744584..4744690,4744733..4744828,4744870..4745011,4745140..4746099)
SPAC458.07tfa1beforeI:join(4744584..4744828,4744870..4745011,4745140..4746099)
SPAC4A8.10afterI:join(2564279..2564306,2564471..2566800)
SPAC4A8.10beforeI:2564629..2566800
SPAC4D7.02cafterI:complement(join(5352606..5353425,5353557..5353672))
SPAC4D7.02cbeforeI:complement(join(5352606..5353449,5353557..5353672))
SPAC4D7.07cafterI:complement(5361908..5363713)
SPAC4D7.07cbeforeI:complement(5361908..5363710)
SPAC4D7.09tif223afterI:join(5367548..5367696,5367821..5368091,5368218..5368659,5368701..5368843,5368915..5369286)
SPAC4D7.09tif223beforeI:join(5367548..5367696,5367821..5368091,5368188..5368659,5368701..5368843,5368915..5369286)
SPAC4F8.06afterI:complement(2668334..2668822)
SPAC4F8.06beforeI:complement(2668334..2668774)
SPAC4G9.20cafterI:complement(join(2288689..2289546,2289948..2289986))
SPAC4G9.20cbeforeI:complement(join(2288689..2289546,2289647..2289697))
SPAC4H3.06afterI:join(3837431..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.06beforeI:join(3837449..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.07cafterI:complement(join(3838713..3838770,3838837..3839056,3839106..3839157,3839282..3839380))
SPAC4H3.07cbeforeI:complement(join(3838713..3838770,3838837..3839056,3839106..3839157,3839195..3839380))
SPAC57A10.04mug10afterI:join(1370179..1370394,1370458..1371276)
SPAC57A10.04mug10beforeI:join(1370197..1370394,1370458..1371276)
SPAC630.14ctup12afterI:complement(join(374683..375830,376094..376446,376844..376931,376993..377200))
SPAC630.14ctup12beforeI:complement(join(374683..375830,376094..376446,376844..376931,376993..377164))
SPAC631.02afterI:2107940..2110123
SPAC631.02beforeI:join(2107470..2107515,2107860..2110123)
SPAC637.09afterI:4555399..4557294
SPAC637.09beforeI:4555423..4557294
SPAC664.02carp8afterI:complement(join(1704981..1706291,1706359..1706568,1706691..1706879,1706928..1707105,1707150..1707250))
SPAC664.02carp8beforeI:complement(join(1704981..1706291,1706359..1706568,1706691..1706879,1706928..1707080))
SPAC664.03afterI:join(1708822..1708824,1708862..1710229)
SPAC664.03beforeI:join(1708822..1708824,1708859..1710229)
SPAC688.03cafterI:complement(join(3114616..3114973,3115103..3115326))
SPAC688.03cbeforeI:complement(join(3114616..3114973,3115103..3115317,3115401..3115442))
SPAC688.14set13afterI:join(3141463..3141603,3141652..3142329,3142396..3142667,3142719..3143034)
SPAC688.14set13beforeI:join(3141484..3141603,3141652..3142329,3142396..3142667,3142719..3143034)
SPAC6B12.07cafterI:complement(2421791..2423203)
SPAC6B12.07cbeforeI:complement(2421791..2423161)
SPAC6C3.04cit1afterI:join(2327861..2327862,2328647..2330096)
SPAC6C3.04cit1beforeI:2328675..2330096
SPAC6G10.08idp1afterI:3231536..3232855
SPAC6G10.08idp1beforeI:3231599..3232855
SPAC6G9.03cmug183afterI:complement(join(3246488..3246912,3246957..3247580,3247626..3247707))
SPAC6G9.03cmug183beforeI:complement(join(3246488..3246912,3246957..3247590))
SPAC6G9.08ubp6afterI:3259701..3261107
SPAC6G9.08ubp6beforeI:3259704..3261107
SPAC750.01afterI:5555791..5556768
SPAC750.01beforeI:5555716..5556768
SPAC7D4.05afterI:complement(join(2629373..2629819,2629909..2629985,2630021..2630183))
SPAC7D4.05beforeI:complement(join(2629373..2629819,2629909..2629985,2630030..2630183))
SPAC806.04cafterI:complement(join(241426..241537,241589..241709,241757..242815,242917..242941))
SPAC806.04cbeforeI:complement(join(241426..241537,241589..241693,241735..242815,242917..242941))
SPAC806.06cafterI:complement(245304..246410)
SPAC806.06cbeforeI:complement(245304..246401)
SPAC806.08cmod21afterI:complement(join(248680..250549,250607..250770))
SPAC806.08cmod21beforeI:complement(248680..250536)
SPAC821.07cmoc3afterI:complement(991752..993278)
SPAC821.07cmoc3beforeI:complement(991752..993245)
SPAC823.09cafterI:complement(join(2594633..2594734,2594792..2594913,2594966..2595693,2595734..2595819))
SPAC823.09cbeforeI:complement(join(2594777..2594913,2594966..2595693,2595734..2595819))
SPAC869.11cat1afterI:complement(5489385..5491148)
SPAC869.11cat1beforeI:complement(5489385..5491127)
SPAC8C9.11afterI:join(3659132..3659191,3659271..3659420,3659527..3659571)
SPAC8C9.11beforeI:join(3659132..3659191,3659271..3659453)
SPAC9.12catp12afterI:complement(join(1487131..1487237,1487287..1488055))
SPAC9.12catp12beforeI:complement(join(1487131..1487225,1487287..1488055))
SPAC959.05cafterI:complement(join(3395685..3397327,3397383..3397638))
SPAC959.05cbeforeI:complement(join(3395685..3397327,3397383..3397579,3397681..3397852,3398029..3398701))
SPAC959.09capc5afterI:complement(join(3401279..3401424,3401471..3401771,3401818..3401913,3401961..3402087,3402138..3402905,3402956..3403049,3403136..3403195,3403240..3403576,3403625..3403729,3403791..3403991))
SPAC959.09capc5beforeI:complement(join(3401279..3401424,3401471..3401771,3401818..3401913,3401961..3402087,3402138..3402905,3402956..3403049,3403136..3403195,3403240..3403576,3403625..3403729,3403791..3403970))
SPAC977.04afterI:34349..34816
SPAC977.04beforeI:34298..34816
SPACUNK4.17afterI:complement(2873032..2874252)
SPACUNK4.17beforeI:complement(2873032..2874249)
SPAP27G11.05cvps41afterI:complement(join(1615930..1616168,1616214..1618127,1618191..1618349,1618391..1618532,1618583..1618744))
SPAP27G11.05cvps41beforeI:complement(join(1615930..1618127,1618191..1618349,1618391..1618532,1618583..1618744))
SPAPB17E12.06afterI:join(1276673..1276846,1276937..1276986,1277041..1277108,1277169..1277270,1277313..1277419,1277458..1277751)
SPAPB17E12.06beforeI:join(1276673..1276850,1276937..1277021,1277023..1277108,1277169..1277270,1277313..1277419,1277458..1277751)
SPAPB18E9.02cppk18afterI:complement(join(3976370..3980195,3980559..3980689))
SPAPB18E9.02cppk18beforeI:complement(join(3976370..3980189,3980559..3980689))
SPAPB1A10.05afterI:1867135..1868019
SPAPB1A10.05beforeI:1867162..1868019
SPAPB1A10.08afterI:join(1876259..1876886,1876959..1877581)
SPAPB1A10.08beforeI:join(1876271..1876886,1876959..1877581)
SPAPB1A10.15arv1afterI:join(1892554..1892640,1892926..1893060,1893116..1893694)
SPAPB1A10.15arv1beforeI:join(1892554..1892640,1892926..1893060,1893098..1893694)
SPAPB1E7.06ceme1afterI:complement(join(3297520..3299548,3299633..3299724,3299781..3299867))
SPAPB1E7.06ceme1beforeI:complement(join(3297520..3299548,3299633..3299724,3299772..3299867))
SPAPB24D3.03afterI:2952416..2953642
SPAPB24D3.03beforeI:2952485..2953642
SPAPYUG7.03cmid2afterI:complement(4749139..4751259)
SPAPYUG7.03cmid2beforeI:complement(4749139..4751253)
SPBC106.04ada1afterII:join(380390..380560,380624..382948)
SPBC106.04ada1beforeII:join(380228..380265,380383..380560,380624..382948)
SPBC106.15idi1afterII:join(406868..406991,407056..407394,407451..407677)
SPBC106.15idi1beforeII:join(406874..406991,407056..407394,407451..407677)
SPBC1198.07cafterII:complement(join(185289..186535,186594..186675))
SPBC1198.07cbeforeII:complement(join(185289..186535,186594..186870))
SPBC1198.08afterII:join(187424..187455,187581..188979)
SPBC1198.08beforeII:join(187430..187455,187581..188979)
SPBC11B10.01alg2afterII:join(1486152..1486236,1486284..1486400,1486472..1486925,1487074..1487938)
SPBC11B10.01alg2beforeII:join(1486152..1486236,1486284..1486400,1486472..1486925,1487059..1487938)
SPBC11B10.10cpht1afterII:complement(1502642..1503157)
SPBC11B10.10cpht1beforeII:complement(1502642..1503064)
SPBC11C11.01afterII:join(3344613..3344676,3344730..3344788,3344833..3344915,3344958..3345058,3345098..3345531,3345579..3345757,3345808..3346288)
SPBC11C11.01beforeII:join(3344613..3344676,3344730..3344788,3344833..3345531,3345579..3345757,3345808..3346288)
SPBC11C11.04calp1afterII:complement(join(3353145..3353508,3353551..3353768,3353815..3353944,3353993..3354375,3354415..3355401,3355446..3356534,3356579..3356725))
SPBC11C11.04calp1beforeII:complement(join(3353145..3353508,3353551..3353768,3353815..3353950,3353993..3354375,3354415..3355401,3355446..3356534,3356579..3356725))
SPBC1289.12usp109afterII:join(4405971..4405987,4406027..4407107)
SPBC1289.12usp109beforeII:4406049..4407107
SPBC12D12.07ctrx2afterII:complement(join(2317984..2318251,2318334..2318467))
SPBC12D12.07ctrx2beforeII:complement(join(2317984..2318251,2318334..2318431))
SPBC1347.05cafterII:complement(join(4069285..4069334,4069390..4070366,4070422..4070510,4070585..4070665))
SPBC1347.05cbeforeII:complement(join(4069285..4069334,4069390..4070366,4070422..4070540))
SPBC1347.07rex2afterII:join(4073591..4073765,4073871..4073951,4074033..4074118,4074238..4074303,4074366..4074716)
SPBC1347.07rex2beforeII:join(4073912..4073951,4074033..4074118,4074238..4074303,4074366..4074716)
SPBC13E7.04atp16afterII:3046852..3047355
SPBC13E7.04atp16beforeII:3046873..3047355
SPBC13E7.10cbrf1afterII:complement(join(3056760..3058060,3058218..3058330,3058392..3058456))
SPBC13E7.10cbrf1beforeII:complement(join(3056760..3058060,3058218..3058330,3058392..3058474,3058584..3058589))
SPBC13G1.04cafterII:complement(join(3732806..3732930,3732994..3733777))
SPBC13G1.04cbeforeII:complement(join(3732806..3732930,3732994..3733762))
SPBC13G1.12did2afterII:join(3752361..3752376,3752417..3752436,3752477..3752554,3752757..3752903,3752946..3753014,3753070..3753141,3753194..3753394)
SPBC13G1.12did2beforeII:join(3752588..3752635,3752757..3752903,3752946..3753014,3753070..3753141,3753194..3753394)
SPBC146.11cmug97afterII:complement(1020296..1021333)
SPBC146.11cmug97beforeII:complement(1020296..1021303)
SPBC146.12coq6afterII:1022416..1023855
SPBC146.12coq6beforeII:1022455..1023855
SPBC14C8.11cafterII:complement(2222650..2223129)
SPBC14C8.11cbeforeII:complement(2222650..2223060)
SPBC15C4.02afterII:join(2238826..2239248,2239362..2240344,2240437..2240704)
SPBC15C4.02beforeII:join(2238671..2238895,2238940..2239248,2239362..2240344,2240437..2240704)
SPBC15D4.02afterII:3012934..3014577
SPBC15D4.02beforeII:3013318..3014577
SPBC1604.04afterII:complement(join(3924320..3924389,3924483..3925172,3925219..3925310))
SPBC1604.04beforeII:complement(join(3924320..3925172,3925219..3925310))
SPBC1652.01afterII:4253265..4254440
SPBC1652.01beforeII:4253280..4254440
SPBC1685.16vma9afterII:join(501305..501396,501685..501735,501802..501862)
SPBC1685.16vma9beforeII:join(501695..501735,501802..501862)
SPBC16C6.03cafterII:complement(join(4332356..4332454,4332541..4332687,4332746..4333123))
SPBC16C6.03cbeforeII:complement(4332698..4333123)
SPBC16D10.04cdna2afterII:complement(join(3592359..3592685,3592733..3593447,3593496..3596289,3596335..3596692))
SPBC16D10.04cdna2beforeII:complement(join(3592359..3592685,3592733..3593447,3593496..3596292,3596335..3596692))
SPBC16E9.19afterII:join(1921511..1921633,1921865..1922173)
SPBC16E9.19beforeII:1921868..1922173
SPBC1703.05afterII:join(2924013..2924078,2924233..2925201)
SPBC1703.05beforeII:join(2924037..2924078,2924233..2925201)
SPBC1706.01tea4afterII:588729..591194
SPBC1706.01tea4beforeII:588765..591194
SPBC1709.03afterII:join(1102314..1102374,1102420..1103075,1103114..1103683)
SPBC1709.03beforeII:join(1102449..1103075,1103114..1103683)
SPBC1709.16cafterII:complement(join(1130896..1131078,1131152..1131460,1131516..1131823,1131979..1132072))
SPBC1709.16cbeforeII:complement(join(1130896..1131078,1131152..1131460,1131516..1131823,1131979..1132036))
SPBC1711.09cafterII:complement(join(2150960..2151760,2151809..2151838))
SPBC1711.09cbeforeII:complement(join(2150960..2151760,2151827..2151838))
SPBC1734.03afterII:1064200..1066401
SPBC1734.03beforeII:1064341..1066401
SPBC1773.08comh4afterII:complement(297771..299093)
SPBC1773.08comh4beforeII:complement(297771..298946)
SPBC1778.05cafterII:complement(join(3105116..3105530,3105652..3105719))
SPBC1778.05cbeforeII:complement(3105116..3105412)
SPBC1778.10cppk21afterII:complement(join(3114461..3115394,3115445..3115615,3115679..3115788,3115843..3116079,3116183..3116386))
SPBC1778.10cppk21beforeII:complement(join(3114461..3115394,3115445..3115615,3115679..3115788,3115843..3116079,3116183..3116383))
SPBC17A3.03cafterII:complement(join(1404360..1404567,1404619..1404695,1404757..1404842,1404974..1405466))
SPBC17A3.03cbeforeII:complement(join(1404360..1404567,1404619..1404695,1404757..1404842,1404974..1405394))
SPBC17D1.07cafterII:complement(join(3340725..3340899,3340986..3341441,3341488..3341950,3341992..3342226,3342272..3342470,3342510..3343408,3343452..3343659,3343704..3343918))
SPBC17D1.07cbeforeII:complement(join(3340725..3340899,3340986..3341441,3341488..3341950,3341992..3342226,3342272..3343408,3343452..3343659,3343704..3343918))
SPBC18E5.12cmas2afterII:complement(2096528..2098036)
SPBC18E5.12cmas2beforeII:complement(2096528..2098012)
SPBC18E5.14cafterII:complement(2089944..2090327)
SPBC18E5.14cbeforeII:complement(join(2089944..2090330,2090431..2090556,2090620..2090943))
SPBC18H10.09afterII:join(1786332..1786414,1786478..1787607,1787643..1787917)
SPBC18H10.09beforeII:join(1786596..1787607,1787643..1787917)
SPBC18H10.10csaf4afterII:complement(join(1788047..1788436,1788492..1788740,1788786..1789046))
SPBC18H10.10csaf4beforeII:complement(join(1788047..1788436,1788492..1788740,1788786..1789031))
SPBC18H10.19atg14afterII:join(1806262..1806498,1806729..1806899,1806964..1807980)
SPBC18H10.19atg14beforeII:1807057..1807980
SPBC19C7.11afterII:join(2843141..2843276,2843334..2843585,2843628..2844061,2844101..2845579)
SPBC19C7.11beforeII:2843141..2845579
SPBC21.03cafterII:complement(join(3217985..3218424,3218467..3218491,3218641..3218651,3218704..3218947))
SPBC21.03cbeforeII:complement(join(3217985..3218424,3218462..3218491,3218580..3218651,3218704..3218947))
SPBC211.01rsm10afterII:join(3870293..3870372,3870439..3871045)
SPBC211.01rsm10beforeII:join(3870305..3870372,3870439..3871045)
SPBC215.06cafterII:complement(join(4038119..4038639,4038731..4038752))
SPBC215.06cbeforeII:complement(4038119..4038655)
SPBC215.12cwf10afterII:join(4052601..4052626,4052671..4053030,4053069..4053420,4053480..4055696)
SPBC215.12cwf10beforeII:join(4052604..4052626,4052671..4053030,4053069..4053420,4053480..4055696)
SPBC21C3.03afterII:join(3802197..3802829,3802885..3804330)
SPBC21C3.03beforeII:join(3802251..3802829,3802885..3804330)
SPBC21D10.11cnfs1afterII:2422760..2424265
SPBC21D10.11cnfs1beforeII:2422769..2424265
SPBC25B2.07cmug164afterII:complement(2609038..2610591)
SPBC25B2.07cmug164beforeII:complement(2609038..2610543)
SPBC25D12.06afterII:3725370..3727127
SPBC25D12.06beforeII:3725430..3727127
SPBC27B12.01cmmm1afterII:complement(join(1321952..1322042,1322087..1322295,1322459..1323100))
SPBC27B12.01cmmm1beforeII:complement(join(1321952..1322042,1322087..1322295,1322360..1323100))
SPBC27B12.02afterII:1323731..1324069
SPBC27B12.02beforeII:1323740..1324069
SPBC27B12.05afterII:join(1328794..1328838,1328891..1328999,1329082..1329415,1329458..1329555,1329597..1329717,1329765..1329984,1330039..1330467,1330515..1330607)
SPBC27B12.05beforeII:join(1329204..1329415,1329458..1329555,1329597..1329720,1329765..1329984,1330039..1330467,1330515..1330607)
SPBC29A10.04psm1afterII:join(2540743..2544408,2544455..2544475)
SPBC29A10.04psm1beforeII:2540743..2544444
SPBC29A10.06cafterII:complement(join(2547516..2547812,2547869..2548072,2548180..2548575))
SPBC29A10.06cbeforeII:complement(join(2547516..2547812,2547869..2548072,2548180..2548566))
SPBC29A10.17afterII:join(2573829..2573870,2573911..2573945,2573998..2574093,2574137..2574214,2574277..2574487)
SPBC29A10.17beforeII:join(2573866..2573903,2573998..2574093,2574137..2574214,2574277..2574487)
SPBC2A9.07cafterII:complement(join(2959078..2959129,2959172..2959780,2959879..2959927,2960019..2960049))
SPBC2A9.07cbeforeII:complement(2959078..2959902)
SPBC2A9.08csec22afterII:complement(join(2961668..2961972,2962036..2962199,2962265..2962409,2962619..2962652))
SPBC2A9.08csec22beforeII:complement(join(2961668..2961972,2962036..2962199,2962265..2962409,2962517..2962532))
SPBC2F12.10afterII:complement(1719551..1720477)
SPBC2F12.10beforeII:complement(1719551..1720663)
SPBC2G2.08ade9afterII:join(3448967..3449103,3449371..3452152)
SPBC2G2.08ade9beforeII:join(3448976..3449103,3449371..3452152)
SPBC2G2.12hrs1afterII:3457165..3458856
SPBC2G2.12hrs1beforeII:3457240..3458856
SPBC2G2.13cafterII:complement(join(3458998..3459104,3459142..3459194,3459234..3459722,3459915..3460234))
SPBC2G2.13cbeforeII:complement(join(3458998..3459104,3459142..3459194,3459234..3459722,3459837..3460234))
SPBC30D10.08mgm101afterII:complement(3084534..3085346)
SPBC30D10.08mgm101beforeII:complement(3084534..3085337)
SPBC30D10.16pha2afterII:complement(join(3064223..3064932,3064978..3065032,3065178..3065231))
SPBC30D10.16pha2beforeII:complement(join(3064223..3065032,3065178..3065231))
SPBC31E1.04pep12afterII:join(245718..246297,246428..246639)
SPBC31E1.04pep12beforeII:join(245718..246297,246428..246585,246640..246855)
SPBC31F10.09cnut2afterII:complement(3765847..3766281)
SPBC31F10.09cnut2beforeII:complement(3765847..3766263)
SPBC31F10.16afterII:join(3785848..3785879,3785929..3786055,3786201..3787820,3787876..3788046)
SPBC31F10.16beforeII:join(3785848..3785879,3785929..3786055,3786111..3787820,3787876..3788046)
SPBC336.10ctif512afterII:complement(2758761..2759270)
SPBC336.10ctif512beforeII:complement(2758761..2759234)
SPBC337.12afterII:join(1052080..1052122,1052339..1052368,1052414..1053471)
SPBC337.12beforeII:join(1052080..1052122,1052339..1052368,1052411..1053471)
SPBC354.06mrps16afterII:join(555893..555969,556399..556579,556846..556878)
SPBC354.06mrps16beforeII:join(555893..555969,556399..556612)
SPBC354.07cafterII:complement(join(558335..559225,559273..559474,560003..560028,560151..560163,560231..560292))
SPBC354.07cbeforeII:complement(join(558335..559225,559273..559474,559942..560028,560151..560163,560231..560246))
SPBC36B7.06cmug20afterII:complement(join(2392551..2392604,2392659..2392926,2392970..2393103))
SPBC36B7.06cmug20beforeII:complement(join(2392551..2392926,2392970..2393103))
SPBC3E7.04cafterII:complement(join(2662488..2662650,2662697..2662759,2662838..2663575,2663638..2663774,2663828..2663941,2664036..2664236,2664476..2664652))pseudo->codingpers. comm. Val Wood
SPBC3E7.04cbeforeII:complement(join(2662663..2662759,2662838..2663575,2663638..2663774,2663828..2663941,2664009..2664173))pseudo->codingpers. comm. Val Wood
SPBC428.01cnup107afterII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..442032))
SPBC428.01cnup107beforeII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..441975))
SPBC428.02ceca39afterII:complement(442631..443914)
SPBC428.02ceca39beforeII:complement(442631..443773)
SPBC428.06crxt2afterII:complement(join(451989..452416,452597..452705,452755..452879,452930..452964,453014..453039))
SPBC428.06crxt2beforeII:complement(join(451989..452416,452597..452705,452749..452879,452930..452964,453014..453039))
SPBC428.10afterII:461024..463561
SPBC428.10beforeII:461306..463561
SPBC428.20calp6afterII:complement(join(481076..481552,481606..483437,483478..483539,483579..483706))
SPBC428.20calp6beforeII:complement(join(481076..481552,481639..483437,483478..483539,483579..483706))
SPBC4F6.13cafterII:complement(2714424..2716646)
SPBC4F6.13cbeforeII:complement(2714424..2716634)
SPBC530.05afterII:796583..798871
SPBC530.05beforeII:796640..798871
SPBC530.12cpdf1afterII:complement(821281..823149)
SPBC530.12cpdf1beforeII:complement(821281..823092)
SPBC530.13lsc1afterII:join(824374..824534,824579..824660,824874..825011,825065..825188,825245..825747)
SPBC530.13lsc1beforeII:join(824374..824534,824579..824660,824874..824999,825083..825188,825245..825747)
SPBC56F2.11met6afterII:complement(join(4089279..4089318,4089361..4090826))
SPBC56F2.11met6beforeII:complement(4089357..4090826)
SPBC646.15cafterII:complement(join(955201..955214,955257..955369,955435..955992,956037..956301,956344..956488))
SPBC646.15cbeforeII:complement(join(955128..955210,955257..955369,955435..955992,956070..956301,956344..956488))
SPBC651.06mug166afterII:1247484..1248188PMID:21270388
SPBC651.06mug166beforeII:join(1247484..1248086,1248158..1248241,1248381..1248481,1248692..1248921,1248991..1249073,1249135..1249617)PMID:21270388
SPBC660.08afterII:join(209802..209825,209922..211172)
SPBC660.08beforeII:209985..211172
SPBC660.11tcg1afterII:join(215144..215355,215606..215807,215861..216496)
SPBC660.11tcg1beforeII:join(215147..215355,215606..215807,215861..216496)
SPBC713.11cpmp3afterII:complement(join(887999..888142,888513..888542))
SPBC713.11cpmp3beforeII:complement(887999..888151)
SPBC725.10afterII:join(1224974..1225441,1225969..1225995)
SPBC725.10beforeII:1224974..1225462
SPBC776.05afterII:join(3182005..3182184,3182236..3182507,3182584..3182653,3182692..3182816,3182860..3183120,3183169..3183368,3183418..3183521)
SPBC776.05beforeII:join(3182005..3182184,3182236..3182507,3182584..3182653,3182692..3182816,3182860..3183120,3183166..3183368,3183418..3183521)
SPBC776.06cafterII:complement(join(3183676..3183771,3183827..3185602))
SPBC776.06cbeforeII:complement(3183803..3185599)
SPBC776.14plh1afterII:join(3204448..3205431,3205477..3205546,3205601..3205628,3205673..3205700,3205749..3205832,3205872..3206111,3206153..3206299,3206345..3206551,3206601..3206668,3206717..3206759)
SPBC776.14plh1beforeII:join(3204448..3205431,3205477..3205568,3205673..3205700,3205749..3205811,3205872..3206111,3206153..3206299,3206345..3206551,3206601..3206668,3206717..3206759)
SPBC776.17afterII:join(3211353..3211701,3211750..3212117)
SPBC776.17beforeII:3211353..3212117
SPBC800.02whi5afterII:join(253148..253231,253310..253984)
SPBC800.02whi5beforeII:join(253148..253231,253352..253984)
SPBC83.01ucp8afterII:join(1510581..1510730,1510881..1511004,1511050..1513235,1513334..1513363)
SPBC83.01ucp8beforeII:join(1510581..1510730,1510881..1511004,1511050..1513430)
SPBC83.06cafterII:complement(1520212..1520490)
SPBC83.06cbeforeII:complement(1520212..1520391)
SPBC83.11afterII:join(1529220..1529314,1529377..1530631)
SPBC83.11beforeII:join(1529291..1529340,1529377..1530631)
SPBC887.02afterII:join(3541262..3541391,3541503..3543352,3543406..3543516)
SPBC887.02beforeII:join(3541262..3541391,3541503..3543376)
SPBC887.04club1afterII:complement(join(3546238..3548174,3548220..3548391,3548458..3548505))
SPBC887.04club1beforeII:complement(join(3546238..3548159,3548220..3548391,3548458..3548505))
SPBC887.07mrpl38afterII:join(3551318..3551389,3551433..3551490,3551554..3551834)
SPBC887.07mrpl38beforeII:join(3551348..3551389,3551433..3551490,3551554..3551834)
SPBC902.05cidh2afterII:complement(join(492162..492268,492319..493083,493238..493286,493334..493480,493584..493655))
SPBC902.05cidh2beforeII:complement(join(492162..492268,492319..493083,493238..493286,493334..493477,493584..493655))
SPBC9B6.06mrpl10afterII:1822936..1823700
SPBC9B6.06mrpl10beforeII:1823038..1823700
SPBP18G5.02afterII:join(2401753..2402237,2402275..2403041,2403138..2403394)
SPBP18G5.02beforeII:join(2401753..2402237,2402275..2403394)
SPBP19A11.07cafterII:complement(join(2868453..2868779,2868820..2868986,2869031..2869250,2869286..2869888,2869941..2870029,2870072..2870193,2870244..2870695,2870733..2870799,2870852..2870871))
SPBP19A11.07cbeforeII:complement(join(2868453..2868779,2868820..2868986,2869031..2869250,2869322..2869888,2869941..2870029,2870072..2870193,2870244..2870695,2870733..2870799,2870852..2870871))
SPBP23A10.16sdh4afterII:2036100..2036579
SPBP23A10.16sdh4beforeII:2036019..2036579
SPBP35G2.06cnup131afterII:complement(join(973049..974181,974223..974577,974617..975002,975044..975137,975172..976632))
SPBP35G2.06cnup131beforeII:complement(join(973049..974181,974223..974577,974647..975002,975044..975137,975172..976632))
SPBP35G2.08cair1afterII:complement(join(979529..980152,980208..980309,980359..980580))
SPBP35G2.08cair1beforeII:complement(join(979529..980152,980208..980309,980359..980574))
SPBP35G2.14afterII:992872..996069
SPBP35G2.14beforeII:992887..996069
SPBP4H10.15afterII:join(2903085..2905816,2905857..2905881)
SPBP4H10.15beforeII:join(2903103..2905816,2905857..2905881)
SPBP8B7.05cafterII:complement(3641216..3642202)
SPBP8B7.05cbeforeII:complement(3641216..3641950)
SPBP8B7.10cafterII:complement(join(3650627..3651029,3651174..3651716,3651783..3651820))
SPBP8B7.10cbeforeII:complement(join(3650627..3651086,3651174..3651716,3651783..3651820))
SPBPB21E7.02cafterII:complement(join(60553..61107,61119..61205))pseudo->codingpers. comm. Val Wood
SPBPB21E7.02cbeforeII:complement(join(60553..61094,61286..61379))pseudo->codingpers. comm. Val Wood
SPBPB2B2.05afterII:4466754..4467515
SPBPB2B2.05beforeII:join(4466723..4466725,4466805..4467515)
SPCC1183.01sec15afterIII:join(591852..591884,591925..592086,592134..592253,592353..592791,592832..594290,594342..594435)
SPCC1183.01sec15beforeIII:join(591852..591884,591925..592086,592134..592253,592353..592791,592832..594435)
SPCC1183.05clig4afterIII:complement(join(599520..599601,599654..600061,600101..600209,600247..600378,600416..600679,600728..601885,601940..602025,602065..602161,602227..602326,602367..602429,602517..602527,602572..602803))
SPCC1183.05clig4beforeIII:complement(join(599310..599379,599654..600061,600101..600209,600247..600378,600416..600679,600728..601885,601940..602161,602227..602326,602367..602429,602558..602803))
SPCC1183.09cpmp31afterIII:complement(join(613283..613305,613356..613564,613628..613725))
SPCC1183.09cpmp31beforeIII:complement(join(613345..613564,613628..613725))
SPCC1235.03afterIII:join(179039..179065,179105..180586)
SPCC1235.03beforeIII:179387..180586
SPCC1235.10csec6afterIII:complement(join(196809..198830,198905..198970,199029..199133,199196..199223,199279..199316))
SPCC1235.10csec6beforeIII:complement(join(196809..198830,199029..199133,199196..199223,199279..199316))
SPCC1259.12cafterIII:complement(join(1056598..1056737,1056787..1057191,1057239..1057880,1057925..1058213))
SPCC1259.12cbeforeIII:complement(join(1056495..1056590,1056685..1056737,1056787..1057191,1057239..1057880,1057925..1058189))
SPCC126.09afterIII:join(2131761..2131780,2132309..2133458)
SPCC126.09beforeIII:2132202..2133458
SPCC126.15csec65afterIII:complement(join(2142679..2143055,2143109..2143373))
SPCC126.15csec65beforeIII:complement(join(2142679..2143055,2143109..2143331))
SPCC1442.12pps1afterIII:join(1789596..1789717,1789805..1790036,1790320..1790683,1790767..1790771)
SPCC1442.12pps1beforeIII:join(1789596..1789717,1789805..1790036,1790320..1790718)
SPCC1450.08cwtf16afterIII:complement(join(1739338..1739444,1739495..1739557,1739598..1739789,1739835..1740047,1740097..1740342,1740510..1740648))
SPCC1450.08cwtf16beforeIII:complement(join(1739338..1739789,1739835..1740047,1740097..1740342,1740510..1740648))
SPCC1450.15afterIII:join(1761207..1761248,1761635..1763077)
SPCC1450.15beforeIII:join(1761516..1761584,1761635..1763077)
SPCC1450.16cafterIII:complement(join(1763350..1763471,1763523..1765038))
SPCC1450.16cbeforeIII:complement(1763497..1765038)
SPCC162.05coq3afterIII:complement(1578220..1579044)
SPCC162.05coq3beforeIII:complement(1578220..1579035)
SPCC1620.12cafterIII:complement(join(2167799..2169715,2169781..2169786))
SPCC1620.12cbeforeIII:complement(2167799..2169586)
SPCC1672.04cafterIII:complement(join(568700..568953,569021..569089,569524..569539))
SPCC1672.04cbeforeIII:complement(join(568700..568953,569021..569072))
SPCC16C4.15rml2afterIII:join(695922..696083,696157..697083)
SPCC16C4.15rml2beforeIII:join(696054..696083,696157..697083)
SPCC1739.03hrr1afterIII:join(2029655..2031992,2032034..2032495,2032538..2032690,2032739..2032785)
SPCC1739.03hrr1beforeIII:join(2029655..2031992,2032034..2032495,2032538..2032785)
SPCC1739.04cafterIII:complement(join(2033032..2033307,2033350..2033545,2033597..2033874,2033932..2034006))
SPCC1739.04cbeforeIII:complement(join(2033032..2033545,2033597..2033874,2033932..2034006))
SPCC1795.08cvid21afterIII:join(981120..981128,981211..981491,981549..984243)
SPCC1795.08cvid21beforeIII:join(981120..981128,981211..981491,981576..984243)
SPCC18.06ccaf1afterIII:complement(1965839..1966846)
SPCC18.06ccaf1beforeIII:complement(1965839..1966837)
SPCC18.15afterIII:join(1983372..1983547,1983594..1983641,1984126..1984882)
SPCC18.15beforeIII:join(1983372..1983547,1984126..1984882)
SPCC1884.02nic1afterIII:43845..45071
SPCC1884.02nic1beforeIII:43854..45071
SPCC18B5.07cnup61afterIII:complement(join(731472..732703,732752..733050,733103..733221))
SPCC18B5.07cnup61beforeIII:complement(join(731472..733050,733103..733221))
SPCC1919.14cbdp1afterIII:complement(join(2237547..2237788,2237833..2237980,2238019..2238668,2238719..2239210,2239256..2239286))
SPCC1919.14cbdp1beforeIII:complement(join(2237547..2237788,2237833..2237980,2238019..2238668,2238719..2239202))
SPCC23B6.01cafterIII:complement(join(1264730..1266005,1266340..1266417,1266512..1266543,1266671..1266717,1266821..1266827))
SPCC23B6.01cbeforeIII:complement(join(1264730..1266005,1266340..1266417,1266512..1266543,1266671..1266754))
SPCC23B6.02cafterIII:complement(join(1268158..1268172,1268244..1268564))
SPCC23B6.02cbeforeIII:complement(join(1268069..1268172,1268249..1268564))
SPCC24B10.15afterIII:927990..929387
SPCC24B10.15beforeIII:927999..929387
SPCC24B10.16cafterIII:complement(929755..930129)
SPCC24B10.16cbeforeIII:complement(929755..930087)
SPCC24B10.19cafterIII:complement(join(932963..934284,934764..934923))
SPCC24B10.19cbeforeIII:complement(join(932963..934284,934401..934446))
SPCC285.07cwtf18afterIII:complement(join(1807004..1807131,1807182..1807244,1807285..1807476,1807513..1807726,1807760..1807836,1807885..1808157,1808396..1808534))
SPCC285.07cwtf18beforeIII:complement(join(1807004..1807476,1807513..1807836,1807885..1808157,1808396..1808534))
SPCC330.10pcm1afterIII:129931..131013
SPCC330.10pcm1beforeIII:129844..131013
SPCC338.10ccox5afterIII:1357866..1358426
SPCC338.10ccox5beforeIII:1357902..1358426
SPCC417.11cafterIII:complement(1698190..1699506)
SPCC417.11cbeforeIII:complement(1698190..1699497)
SPCC417.12afterIII:1699682..1701301
SPCC417.12beforeIII:1699739..1701301
SPCC4B3.09cafterIII:join(1160510..1160544,1160594..1161080)
SPCC4B3.09cbeforeIII:join(1160411..1160544,1160594..1161080)
SPCC550.14vgl1afterIII:1217142..1221017
SPCC550.14vgl1beforeIII:1217178..1221017
SPCC553.05cafterIII:complement(join(297354..297655,297705..297950,298119..298194))SPD:51/51D01
SPCC553.05cwtf6beforeIII:complement(join(297140..297216,297266..297308,297384..297655,297705..297950,298119..298258))SPD:51/51D01
SPCC553.11cafterIII:join(281902..281936,281981..281986,282056..282137,282204..282410)
SPCC553.11cbeforeIII:join(281902..281936,282056..282137,282204..282410)
SPCC569.03afterIII:complement(join(2430334..2430776,2430840..2431524))
SPCC569.03beforeIII:complement(2430334..2431524)
SPCC584.14mug160afterIII:1518916..1520220
SPCC584.14mug160beforeIII:1518925..1520220
SPCC594.04cafterIII:complement(362699..363733)
SPCC594.04cbeforeIII:complement(362699..363715)
SPCC613.08afterIII:join(93146..93230,93285..93496,93618..94169)
SPCC613.08beforeIII:join(93017..93230,93285..93496,93618..94169)
SPCC63.03afterIII:join(837605..837658,837720..838933,838984..839404,839462..839591,839638..839657)
SPCC63.03beforeIII:join(837605..837658,837720..838933,838984..839404,839462..839701)
SPCC63.10csec59afterIII:complement(join(854651..855926,855984..856222))
SPCC63.10csec59beforeIII:complement(join(854651..855926,855984..856213))
SPCC645.02gep4afterIII:join(1229724..1230275,1230330..1230407)
SPCC645.02gep4beforeIII:1229724..1230290
SPCC663.02wtf14afterIII:join(1630438..1630567,1630639..1630863,1630913..1631164,1631205..1631267,1631331..1631350)
SPCC663.02wtf14beforeIII:join(1630438..1630567,1630639..1630863,1630913..1631226)
SPCC663.15cafterIII:complement(join(1660282..1662248,1662493..1662562))
SPCC663.15cbeforeIII:complement(1660282..1662255)
SPCC663.17wtf15afterIII:join(1632825..1632963,1633169..1633426,1633474..1633710,1633750..1633806,1633866..1633942)
SPCC663.17wtf15beforeIII:1632825..1633709
SPCC736.05wtf7afterIII:join(320608..320755,320964..321335,321387..321523)
SPCC736.05wtf7beforeIII:join(320617..320755,320964..321335,321387..321523)
SPCC757.04afterIII:join(50527..50552,50602..50626,50678..52537)
SPCC757.04beforeIII:join(50358..50552,50678..52537)
SPCC757.10vph2afterIII:join(68531..68953,69017..69235)
SPCC757.10vph2beforeIII:join(68612..68953,69017..69235)
SPCC777.02afterIII:join(1599182..1599195,1599267..1599291,1599374..1601173)
SPCC777.02beforeIII:join(1598981..1599054,1599267..1599291,1599374..1601173)
SPCC777.13vps35afterIII:join(1619556..1621163,1621204..1621317,1621361..1621710,1621765..1621822,1621870..1621944,1622032..1622337)
SPCC777.13vps35beforeIII:join(1619709..1621163,1621204..1621317,1621361..1621710,1621765..1621822,1621870..1621944,1622032..1622337)
SPCC790.03afterIII:join(2245960..2246125,2246172..2246448,2246603..2246915)
SPCC790.03beforeIII:join(2245969..2246125,2246172..2246448,2246603..2246915)
SPCC970.01rad16afterIII:complement(join(514906..515322,515363..515623,515669..515794,515837..516164,516204..516552,516602..516885,516936..517412,517459..517581,517635..517903))
SPCC970.01rad16beforeIII:complement(join(514906..515322,515363..515794,515837..516164,516204..516552,516602..516885,516936..517412,517459..517581,517635..517903))
SPCC970.09sec8afterIII:complement(join(492370..492784,492832..493062,493108..493549,493600..493738,493780..493954,494003..495612,495673..495722,495767..495926))
SPCC970.09sec8beforeIII:complement(join(492370..492784,492832..493549,493600..493738,493780..493954,494003..495612,495673..495722,495767..495926))
SPCC970.12mis18afterIII:complement(join(513931..514092,514167..514251,514293..514328,514377..514463,514511..514571,514617..514770))
SPCC970.12mis18beforeIII:complement(join(514122..514251,514293..514328,514377..514463,514511..514571,514617..514770))
SPCPB16A4.02cafterIII:complement(join(944872..945632,945671..945746,945797..945859,946141..946260))
SPCPB16A4.02cbeforeIII:complement(join(944872..945632,945671..945713,945797..945859,946141..946260))
SPAC1006.03cred1afterI:complement(join(5071212..5071417,5071462..5073188,5073389..5073449,5073728..5073872))intron donor correctedSPD:38/38H01
SPAC1006.03cbeforeI:complement(join(5071212..5071417,5071456..5073188,5073389..5073449,5073728..5073872))intron donor correctedSPD:38/38H01
SPBC2G2.09ccrs1afterII:complement(join(3452323..3452540,3452589..3452769,3452822..3452877,3452918..3453077,3453119..3453406))
SPBC2G2.09ccrs1beforeII:complement(join(3452323..3452540,3452589..3452769,3452922..3453077,3453119..3453406))
SPBC947.10dsc1afterII:complement(join(653091..653363,653432..655246))N-terminal extended to use upstream methioninepers. comm. E. Stewart
SPBC947.10dsc1beforeII:complement(join(653091..653363,653432..655189))N-terminal extended to use upstream methioninepers. comm. E. Stewart
SPAC11D3.11cafterI:complement(join(128025..129059,129103..129127,129172..129185))
SPAC11D3.11cbeforeI:complement(join(127165..129059,129103..129127,129172..129185))
SPAC13F5.07cafterI:complement(join(2184865..2185282,2185472..2185551))PMID:21270388
SPAC13F5.07cbeforeI:complement(2184865..2185182)PMID:21270388
SPAC18B11.05gpi18afterI:complement(join(308381..309719,309751..309806))PMID:21270388
SPAC18B11.05gpi18beforeI:complement(308381..309661)PMID:21270388
SPAC29A4.03cafterI:join(5142407..5142628,5142631..5143224)PMID:21270388
SPAC29A4.03cbeforeI:5142826..5143224PMID:21270388
SPAC3A11.03afterI:join(3466462..3466483,3466772..3467472,3467608..3467835)PMID:21270388
SPAC3A11.03beforeI:join(3466462..3466483,3466772..3467493)PMID:21270388
SPAC688.04cgst3afterI:complement(3116067..3116795)PMID:21270388
SPAC688.04cgst3beforeI:complement(3116067..3116744)PMID:21270388
SPAC688.11end4afterI:3135125..3138433PMID:21270388
SPAC688.11end4beforeI:3135155..3138433PMID:21270388
SPAC823.04afterI:join(2587729..2587897,2587952..2588028,2588031..2588143,2588182..2588620)PMID:21270388
SPAC823.04beforeI:join(2587729..2587897,2588106..2588620)PMID:21270388
SPACUNK4.14mdb1afterI:complement(join(2883184..2883489,2883542..2884783,2884840..2884932,2884987..2885220))PMID:21270388
SPACUNK4.14mdb1beforeI:complement(join(2883184..2883489,2883542..2884783,2884840..2884854))PMID:21270388
SPAPB17E12.14cafterI:complement(1286916..1288922)PMID:21270388
SPAPB17E12.14cbeforeI:complement(1286916..1288340)PMID:21270388
SPBC16H5.12cafterII:join(2274073..2274084,2274139..2274301,2274610..2274721,2274781..2276707)PMID:21270388
SPBC16H5.12cbeforeII:join(2274403..2274412,2274610..2274721,2274781..2276707)PMID:21270388
SPBC1709.12rid1afterII:join(1122828..1123246,1123385..1123532,1123601..1124133,1124183..1124285)PMID:21270388
SPBC1709.12rid1beforeII:join(1122828..1123246,1123385..1123532,1123601..1124137)PMID:21270388
SPBC1711.10cnpl4afterII:complement(join(2152462..2152575,2152627..2154144,2154207..2154287,2154333..2154335))PMID:21270388
SPBC1711.10cnpl4beforeII:complement(join(2152591..2154144,2154207..2154287,2154333..2154335))PMID:21270388
SPBC25H2.11cspt7afterII:join(3263377..3263950,3263992..3264191,3264246..3264284,3264337..3264438,3264481..3264619,3264667..3265910,3265950..3266093,3266137..3266351,3266397..3266718)PMID:21270388
SPBC25H2.11cspt7beforeII:join(3263377..3263950,3263992..3264191,3264337..3264438,3264481..3264619,3264667..3265910,3265950..3266093,3266137..3266351,3266397..3266718)PMID:21270388
SPBC29A10.17afterII:join(2573866..2573903,2573998..2574093,2574137..2574214,2574277..2574487)PMID:21270388
SPBC29A10.17beforeII:join(2574032..2574093,2574137..2574214,2574277..2574487)PMID:21270388
SPBC4F6.10vps901afterII:join(2708076..2709415,2709418..2709793)PMID:21270388
SPBC4F6.10vps901beforeII:2708076..2709689PMID:21270388
SPBP8B7.31afterII:join(3698333..3698414,3698473..3698724,3698800..3698919,3698973..3699037)PMID:21270388
SPBP8B7.31beforeII:join(3698333..3698414,3698473..3698724,3698800..3698999)PMID:21270388
SPCC1322.16phb2afterIII:join(1323844..1324147,1324355..1324621,1324678..1324746,1324796..1325022)PMID:21270388
SPCC1322.16phb2beforeIII:join(1323871..1324147,1324355..1324621,1324678..1324746,1324796..1325022)PMID:21270388
SPCC4G3.15cnot2afterIII:join(441589..441688,441749..442145,442214..442432,442492..442696)
SPCC4G3.15cnot2beforeIII:join(442039..442145,442214..442432,442492..442696)
SPCC622.17apn1afterIII:join(1435178..1435181,1435272..1435335,1435596..1435850,1435923..1436649)added 2 5’ exonsPMID:21193357
SPCC622.17apn1beforeIII:join(1435549..1435850,1435923..1436649)added 2 5’ exonsPMID:21193357
SPAC22G7.04ubp13afterI:join(732880..732897,732942..733040,733085..733251,733369..733495,733536..734113,734151..735457,735495..736465)pers. comm. James Iben
SPAC22G7.04ubp13beforeI:join(732880..732897,732942..733040,733085..733251,733288..733495,733536..734113,734151..735457,735495..736465)pers. comm. James Iben
SPAC27F1.09cprp10afterI:complement(join(4333170..4336555,4336622..4336726,4336778..4336787))added intron to match fully splicedPMID:9837997
SPAC27F1.09cprp10beforeI:complement(join(4333170..4336726,4336778..4336787))added intron to match fully splicedPMID:9837997
SPAPB24D3.05cafterI:complement(join(2954983..2955191,2955194..2955350))
SPAPB24D3.05cbeforeI:complement(join(2954989..2955191,2955191..2955350))
SPCC285.06cwtf17afterIII:complement(join(1805166..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPCC285.06cwtf17beforeIII:complement(join(1805165..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPAPB24D3.05cafterI:complement(join(2954989..2955191,2955191..2955350))
SPAPB24D3.05cbeforeI:complement(2954989..2955350)
SPCC285.06cwtf17afterIII:complement(join(1805165..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPCC285.06cwtf17beforeIII:complement(join(1805169..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPAC458.04cdil1afterI:complement(join(4737605..4738147,4738189..4738283,4738330..4738740,4738779..4738854))pers. comm. Val Wood
SPAC458.04cbeforeI:complement(join(4737605..4738147,4738189..4738283,4738330..4738714))pers. comm. Val Wood
SPCC306.10wtf8afterIII:join(427445..427583,427752..427997,428072..428290,428336..428527,428568..428630,428681..428763)pseudo->codingpers. comm. Val Wood
SPCC306.10wtf8beforeIII:join(427445..427583,427752..427997,428047..428290,428336..428527,428568..428630,428681..428763)pseudo->codingpers. comm. Val Wood
SPCC5E4.10cafterIII:complement(join(651622..651905,651973..652045,652115..652225,652280..652371,652419..652455))pers. comm. K. Gould
SPCC5E4.10cbeforeIII:complement(join(651622..651905,651973..651994))pers. comm. K. Gould
SPAC29B12.08afterI:join(5429038..5429045,5429119..5431072)replaced exon 5428786..5428883 with 5429038.. 5429045pers. comm. Val Wood
SPAC29B12.08beforeI:join(5428786..5428883,5429122..5431072)replaced exon 5428786..5428883 with 5429038.. 5429045pers. comm. Val Wood
SPBC1348.11afterII:join(33231..33602,33608..34291,34295..34780)
SPBC1348.11beforeII:33231..34820
SPBC1348.12afterII:join(35112..35171,35211..35612,35748..35883,35928..36125,36234..36589)pseudo->codingpers. comm. Val Wood
SPBC1348.12beforeII:35223..36658pseudo->codingpers. comm. Val Wood
SPBC1348.13afterII:36892..37188
SPBC1348.13beforeII:36901..37263
SPBC18E5.15afterII:join(2091892..2091985,2091987..2092234)
SPBC18E5.15beforeII:join(2091892..2091982,2092041..2092234)
SPBC31A8.02afterII:1268093..1268452
SPBC31A8.02beforeII:1268094..1268452
SPBC3E7.04cafterII:complement(join(2662663..2662759,2662838..2663575,2663638..2663774,2663828..2663941,2664009..2664173))
SPBC3E7.04cbeforeII:complement(join(2662488..2662650,2662697..2662759,2662838..2663575,2663638..2663691,2663828..2663941,2664036..2664236,2664476..2664652))
SPBPB21E7.02cafterII:complement(join(60553..61094,61286..61379))
SPBPB21E7.02cbeforeII:complement(join(60553..61107,61119..61205))
SPCP20C8.03afterIII:join(32624..32956,32959..33393)
SPCP20C8.03beforeIII:32624..33393
SPBC18H10.08cubp4afterII:complement(join(1784219..1785748,1785937..1786080,1786141..1786248))missing 2 N-terminal exonspers. comm. I. Kouranti
SPBC18H10.08cubp4beforeII:complement(1784219..1785535)missing 2 N-terminal exonspers. comm. I. Kouranti
SPBC2A9.07cafterII:complement(2959078..2959902)removed intronpers. comm. Cathrine Arnason Boe
SPBC2A9.07cbeforeII:complement(join(2959078..2959129,2959172..2959902))removed intronpers. comm. Cathrine Arnason Boe
SPBP22H7.09cmis15afterII:complement(join(1448815..1449603,1449657..1449790,1449849..1450155))
SPBP22H7.09cmis15beforeII:complement(join(1448815..1449374,1449428..1449790,1449849..1450155))
SPAC1F8.07cafterI:complement(join(101836..101869,101872..103544))
SPAC1F8.07cbeforeI:complement(join(101836..101872,101872..103544))
SPBC13E7.01cwf22afterII:join(3037988..3040331,3040334..3040650)PMID:21270388
SPBC13E7.01cwf22beforeII:join(3037988..3040331,3040331..3040650)PMID:21270388
SPBC14C8.09cafterII:complement(join(2219430..2219934,2219937..2220322))
SPBC14C8.09cbeforeII:complement(join(2219430..2219937,2219937..2220322))
SPBC1A4.06cafterII:complement(join(1987044..1987099,1987102..1987675,1987737..1988015,1988081..1988353))
SPBC1A4.06cbeforeII:complement(join(1987044..1987102,1987102..1987675,1987737..1988015,1988081..1988353))
SPBC23G7.06cafterII:complement(join(2106448..2108178,2108181..2108786))
SPBC23G7.06cbeforeII:complement(join(2106448..2108181,2108181..2108786))
SPBC29A3.08pof4afterII:join(2053033..2053517,2053519..2053600)frameshifted; truncated to 2048336..2049892, 2049894..2049896PMID:16823372
SPBC29A3.08pof4beforeII:2053033..2053632frameshifted; truncated to 2048336..2049892, 2049894..2049896PMID:16823372
SPBC337.02cafterII:complement(join(1032857..1033607,1033610..1033776))
SPBC337.02cbeforeII:complement(1032857..1033776)
SPCC1442.04cafterIII:complement(join(1773925..1774233,1774236..1775429))
SPCC1442.04cbeforeIII:complement(join(1773925..1774239,1774236..1775429))
SPBC428.20calp6afterII:complement(join(481076..481552,481639..483437,483478..483539,483579..483706))
SPBC428.20calp6beforeII:complement(join(481076..481552,481639..483437,483478..483539,483579..483691))
SPBC800.02whi5afterII:join(253148..253231,253352..253984)increased intron by 42bp pers. comm. Rob de Bruin
SPBC800.02whi5beforeII:join(253148..253231,253310..253984)increased intron by 42bp pers. comm. Rob de Bruin
SPCC16C4.01sif2afterIII:join(658832..659139,659223..659488,659567..659628,659709..660197,660298..660321)
SPCC16C4.01sif2beforeIII:join(658832..659139,659223..659488,659567..659628,659709..660197,660298..660322)
SPBP23A10.07rpa2afterII:2008119..2011643truncated N-term to agree with orthologs; 2007960 -> 2008119pers. comm. Val Wood
SPBP23A10.07rpa2beforeII:2007960..2011643truncated N-term to agree with orthologs; 2007960 -> 2008119pers. comm. Val Wood
SPCC548.04urm1afterIII:join(223385..223407,223451..223603,223687..223796,223853..223860)final exon 223687..223852 to 223687..223796, 223853.223860pers. comm. Marc Feuermann, Uniprot (SIB),SPD:04/04C07
SPCC548.04beforeIII:join(223385..223407,223451..223603,223687..223852)final exon 223687..223852 to 223687..223796, 223853.223860pers. comm. Marc Feuermann, Uniprot (SIB),SPD:04/04C07
SPAC1F8.07cafterI:complement(join(101836..101872,101872..103544))frameshiftedPMID:16823372,SPD:45/45G12
SPAC1F8.07cbeforeI:complement(101760..103544)frameshiftedPMID:16823372
SPAC22F3.11csnu23afterI:join(682874..682994,682996..683109,683160..683446)frameshiftedPMID:16823372,SPD:06/06A12
SPAC22F3.11csnu23beforeI:join(682874..683034,683102..683109,683160..683446)frameshiftedPMID:16823372
SPAC23H3.04afterI:join(2499035..2499159,2499161..2499353,2499443..2499824,2499875..2500236)SPD:19/19C03
SPAC23H3.04beforeI:join(2499035..2499164,2499166..2499353,2499443..2499824,2499875..2500236)
SPBC13E7.01cwf22afterII:join(3037988..3040331,3040331..3040650)frameshiftedPMID:16823372,SPD:29/29B01
SPBC13E7.01cwf22beforeII:3037988..3040492frameshiftedPMID:16823372
SPBC14C8.09cafterII:complement(join(2219430..2219937,2219937..2220322))merged with SPBC14C8.08c; frameshiftedPMID:16823372,SPD:03/03F09
SPBC14C8.09cbeforeII:complement(2219888..2220322)merged with SPBC14C8.08c; frameshiftedPMID:16823372
SPBC1A4.06cafterII:complement(join(1987044..1987102,1987102..1987675,1987737..1988015,1988081..1988353))frameshifted; C term exon changed from 1987076..1987675 to 1987044..1987675PMID:16823372,SPD:44/44B06
SPBC1A4.06cbeforeII:complement(join(1987076..1987675,1987737..1988015,1988081..1988353))frameshifted; C term exon changed from 1987076..1987675 to 1987044..1987675PMID:16823372
SPBC23G7.06cafterII:complement(join(2106448..2108181,2108181..2108786))frameshifted; now a single exonPMID:16823372,SPD:28/28D07
SPBC23G7.06cbeforeII:complement(join(2106448..2108254,2108356..2108786))frameshifted; now a single exonPMID:16823372
SPBC29A3.06afterII:join(2048336..2049892,2049894..2049896)SPD:35/35A03
SPBC29A3.06beforeII:2048336..2050006
SPBC725.12nbl1afterII:join(1227762..1227876,1227926..1228094,1228166..1228307)pers. comm. Kathy Gould,SPD:01/01H12
SPBC725.12mug118beforeII:join(1227762..1227876,1227926..1228098)pers. comm. Kathy Gould
SPCC1442.04cafterIII:complement(join(1773925..1774239,1774236..1775429))frameshiftedPMID:16823372,SPD:19/19F02
SPCC1442.04cbeforeIII:complement(1774200..1775429)frameshiftedPMID:16823372
SPAC31G5.12cmaf1afterI:complement(join(3008184..3008795,3009160..3009258,3009312..3009317))PMID:15590667
SPAC31G5.12cmaf1beforeI:complement(join(3008184..3008795,3008914..3008957,3009044..3009089))PMID:15590667
SPAPB1E7.14iec5afterI:join(3321979..3322018,3322071..3322331,3322379..3322512)PMID:19040720
SPAPB1E7.14beforeI:join(3322106..3322331,3322379..3322512)PMID:19040720,PMID:18488015
SPAC23H3.04afterI:join(2499035..2499164,2499166..2499353,2499443..2499824,2499875..2500236)
SPAC23H3.04beforeI:join(2499035..2499164,2499160..2499353,2499443..2499824,2499875..2500236)
SPAC688.04cgst3afterI:complement(3116067..3116744)
SPAC688.04cgst3beforeI:complement(3116067..3116795)
SPBC11B10.10cpht1afterII:complement(1502642..1503064)N terminal shortened to 2nd methionine; starting coordinate changed from 1503157 to 1503064pers. comm. L Buchanan and F Stewart
SPBC11B10.10cpht1beforeII:complement(1502642..1503157)N terminal shortened to 2nd methionine; starting coordinate changed from 1503157 to 1503064pers. comm. L Buchanan and F Stewart
SPAC959.05cafterI:complement(join(3395685..3397327,3397383..3397579,3397681..3397852,3398029..3398701))merged with SPAC959.06c; splicing is tentativepers. comm. Charley Chahwan
SPAC959.05cbeforeI:complement(join(3395685..3397327,3397383..3397638))merged with SPAC959.06c; splicing is tentativepers. comm. Charley Chahwan
SPBC18E5.14cafterII:complement(join(2089944..2090330,2090431..2090556,2090620..2090943))merged with SPBC18E5.09cpers. comm. Charley Chahwan
SPBC18E5.14cbeforeII:complement(2089944..2090327)merged with SPBC18E5.09cpers. comm. Charley Chahwan
SPBC31F10.08mde2afterII:join(3764820..3765437,3765491..3765709)pers. comm. Charley Chahwan
SPBC31F10.08mde2beforeII:3764820..3765449pers. comm. Charley Chahwan
SPBC651.06mug166afterII:join(1247484..1248086,1248158..1248241,1248381..1248481,1248692..1248921,1248991..1249073,1249135..1249617)merged with SPBC651.07pers. comm. Charley Chahwan
SPBC651.06mug166beforeII:1247484..1248188merged with SPBC651.07pers. comm. Charley Chahwan
SPAC25H1.10catp19afterI:complement(join(2532904..2532928,2532991..2533127,2533170..2533214))PMID:18488015
SPAC25H1.10catp19beforeI:complement(join(2532905..2532928,2532991..2533127,2533170..2533214))PMID:xxxxtemp
SPAC6F6.16ctpz1afterI:complement(join(2763686..2764572,2764611..2764752,2764791..2764825,2764872..2765122,2765166..2765263,2765320..2765433))merged with SPAC6F6.18c and five introns addedPMID:18535244
SPAC6F6.16cbeforeI:complement(2763686..2764534)merged with SPAC6F6.18c and five introns addedPMID:18535244
SPBC2G2.09ccrs1afterII:complement(join(3452323..3452540,3452589..3452769,3452922..3453077,3453119..3453406))added new C-terminal exon, deleted exon 3452822..3452877, extended intron 2 by 4 nucleotidespers. comm. Charley Chahwan
SPBC2G2.09ccrs1beforeII:complement(join(3452584..3452769,3452822..3452877,3452918..3453077,3453119..3453406))added new C-terminal exon, deleted exon 3452822..3452877, extended intron 2 by 4 nucleotidespers. comm. Charley Chahwan
SPCC338.08ctp1afterIII:complement(join(1358891..1359082,1359127..1359819))
SPCC338.08ctp1beforeIII:complement(join(1358891..1359082,1359121..1359819))
SPCC962.05ast1afterIII:join(554521..554744,554865..556200)pers. comm. Matthew O’Connell
SPCC962.05ast1afterIII:join(554521..554744,554865..556200)intron position movedpers comm. M. O’Connell
SPCC962.05beforeIII:join(554521..554722,554792..556200)pers. comm. Matthew O’Connell
SPCC962.05beforeIII:join(554521..554722,554792..556200)intron position movedpers comm. M. O’Connell
SPAC31G5.12cmaf1afterI:complement(join(3008184..3008795,3008914..3008957,3009044..3009089))
SPAC31G5.12cmaf1beforeI:complement(join(3008184..3008795,3008893..3008928))
SPBC16C6.02cvps1302afterII:complement(join(4322829..4331555,4331641..4331793,4331856..4331968,4332007..4332028))also adds new gene SPBC16C6.14, complement(4322221..4322622)PMID:18367542
SPBC16C6.02cvps1302beforeII:complement(join(4322221..4322742,4322970..4331555,4331641..4331793,4331856..4331968,4332007..4332028))also adds new gene SPBC16C6.14, complement(4322221..4322622)PMID:18367542
SPBC19G7.06mbx1afterII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360001..2361092)Solexa intron data; altered 3rd intron branch acceptor to agree with publishedPMID:18488015
SPBC19G7.06mbx1beforeII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360064..2361092)Solexa intron data; altered 3rd intron branch acceptor to agree with publishedPMID:18488015
SPBC21C3.07cbeforeII:complement(join(3807827..3807891,3807946..3808607,3808665..3808795))
SPBC21C3.07cbeforeII:complement(join(3807920..3808607,3808665..3808795))Solexa transread data; added two 3’ exonsPMID:18488015
SPBC428.20calp6afterII:complement(join(481076..481552,481639..483437,483478..483539,483579..483691))
SPBC428.20calp6beforeII:complement(join(481076..481552,481639..483437,483478..483539,483579..483706))
SPCC338.08ctp1afterIII:complement(join(1358891..1359082,1359121..1359819))
SPCC338.08ctp1beforeIII:complement(join(1358885..1359082,1359121..1359819))
SPAC1093.03afterI:join(4613627..4613686,4613723..4614081,4614164..4614378,4614438..4614954,4614996..4616331)Solexa intron data; improved distance between branch and acceptor, intron 2PMID:18488015
SPAC1093.03beforeI:join(4613627..4613686,4613723..4614081,4614152..4614378,4614438..4614954,4614996..4616331)Solexa intron data; improved distance between branch and acceptor, intron 2PMID:18488015
SPAC1142.01afterI:3625574..3627544Solexa intron data; removed 5’ exon and trimmed to new Met, improved homologyPMID:18488015
SPAC1142.01beforeI:join(3625447..3625460,3625555..3627544)Solexa intron data; removed 5’ exon and trimmed to new Met, improved homologyPMID:18488015
SPAC11D3.07cafterI:complement(118195..120108)Solexa intron data; removed in-frame splice, not required or supportedPMID:18488015
SPAC11D3.07cbeforeI:complement(join(118195..119827,119930..120108))Solexa intron data; removed in-frame splice, not required or supportedPMID:18488015
SPAC13G6.04tim8afterI:join(180423..180528,180586..180721,180890..180911)Solexa transread dataPMID:18488015
SPAC13G6.04tim8beforeI:join(180423..180528,180586..180776)Solexa transread dataPMID:18488015
SPAC144.17cafterI:complement(join(4687388..4687477,4687522..4688462,4688513..4688831))Solexa transread data; added 3’ intron and exon, improved homologyPMID:18488015
SPAC144.17cbeforeI:complement(join(4687483..4688462,4688513..4688831))Solexa transread data; added 3’ intron and exon, improved homologyPMID:18488015
SPAC1556.01crad50afterI:complement(join(3791831..3791851,3791891..3792229,3792267..3795557,3795601..3795684,3795734..3795856))Solexa transread data; added small 3’ intron and exonPMID:18488015
SPAC1556.01crad50beforeI:complement(join(3791855..3792229,3792267..3795557,3795601..3795684,3795734..3795856))Solexa transread data; added small 3’ intron and exonPMID:18488015
SPAC1556.03azr1afterI:join(3799244..3799680,3799731..3800135,3800184..3800241)Solexa transread data; added new 5’ intron and exon/improved homologyPMID:18488015
SPAC1556.03azr1beforeI:join(3799244..3799680,3799731..3800160)Solexa transread data; added new 5’ intron and exon/improved homologyPMID:18488015
SPAC15A10.10mde6afterI:join(3697508..3697752,3697795..3698368,3698421..3698527,3698570..3699310,3699359..3699538,3699582..3699837)Solexa transread data; added in-frame intronPMID:18488015
SPAC15A10.10mde6beforeI:join(3697508..3697752,3697795..3698368,3698421..3698527,3698570..3699538,3699582..3699837)Solexa transread data; added in-frame intronPMID:18488015
SPAC15A10.12cafterI:complement(join(3709206..3709346,3709499..3709804))Solexa transread dataPMID:18488015
SPAC15A10.12cbeforeI:complement(3709451..3709804)Solexa transread dataPMID:18488015
SPAC1639.01cafterI:complement(join(251726..251745,251863..252337,252392..252752,253590..253630))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC1639.01cbeforeI:complement(join(251726..252337,252392..252752,253590..253630))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC16E8.12cafterI:complement(join(3523136..3523644,3523925..3523996,3524044..3524098))Solexa transread data; added 2 5’ exonsPMID:18488015
SPAC16E8.12cbeforeI:complement(join(3523136..3523644,3524027..3524030))Solexa transread data; added 2 5’ exonsPMID:18488015
SPAC1751.02crsm19afterI:complement(join(385755..385887,385938..386043,386107..386149))Solexa intron data; remove 5’ exon, trimmed to new Met, improved homologyPMID:18488015
SPAC1751.02crsm19beforeI:complement(join(385755..385887,385938..386043,386107..386179,386296..386310))Solexa intron data; remove 5’ exon, trimmed to new Met, improved homologyPMID:18488015
SPAC17A5.02cdbr1afterI:complement(join(1754033..1754145,1754186..1754310,1754350..1755118,1755164..1755285,1755331..1755638))Solexa transread dataPMID:18488015
SPAC17A5.02cdbr1beforeI:complement(join(1754109..1754310,1754350..1755118,1755164..1755285,1755331..1755638))Solexa transread dataPMID:18488015
SPAC1A6.03cafterI:complement(join(1070061..1070138,1070205..1072013))Solexa transread data; new 3’ intron/exon, improved homologyPMID:18488015
SPAC1A6.03cbeforeI:complement(1070139..1072013)Solexa transread data; new 3’ intron/exon, improved homologyPMID:18488015
SPAC1B3.10cafterI:complement(4946090..4948084)Solexa intron data; removed 3’ exon, unsupportedPMID:18488015
SPAC1B3.10cbeforeI:complement(join(4945933..4945984,4946094..4948084))Solexa intron data; removed 3’ exon, unsupportedPMID:18488015
SPAC1F12.08afterI:join(3817464..3817803,3817851..3817991,3818035..3818130,3818170..3818543)Solexa transread data; added new intron, in-frame splice in final exon, improved homologyPMID:18488015
SPAC1F12.08beforeI:join(3817464..3817803,3817851..3817991,3818035..3818543)Solexa transread data; added new intron, in-frame splice in final exon, improved homologyPMID:18488015
SPAC22E12.10cetp1afterI:complement(join(5037208..5037446,5037492..5039103))Solexa transread data; added in-frame splicePMID:18488015
SPAC22E12.10cetp1beforeI:complement(5037208..5039103)Solexa transread data; added in-frame splicePMID:18488015
SPAC23C4.04cafterI:join(1036033..1036343,1036397..1036508)Solexa transread data; added intronPMID:18488015
SPAC23C4.04cbeforeI:1036033..1036347Solexa transread data; added intronPMID:18488015
SPAC23H3.04afterI:join(2499035..2499164,2499160..2499353,2499443..2499824,2499875..2500236)Solexa intron data; changed 5’ 1st and 2nd exon, improved homologyPMID:18488015
SPAC23H3.04beforeI:join(2499035..2499164,2499325..2499353,2499443..2499824,2499875..2500236)Solexa intron data; changed 5’ 1st and 2nd exon, improved homologyPMID:18488015
SPAC24H6.01cafterI:join(490016..490262,490338..490771,490812..490931,490979..491149,491186..491858,491905..492011)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPAC24H6.01cbeforeI:join(490016..490262,490338..490771,490812..490931,490979..491149,491186..491980)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPAC26H5.04afterI:4122149..4124518Solexa intron dataPMID:18488015
SPAC26H5.04beforeI:join(4122149..4123354,4123535..4124518)Solexa intron dataPMID:18488015
SPAC2C4.06cafterI:complement(join(4269367..4270554,4270631..4270674,4270736..4270871))Solexa intron data; replaced 2 internal exons with a different single exonPMID:18488015
SPAC2C4.06cbeforeI:complement(join(4269367..4270554,4270587..4270593,4270638..4270674,4270736..4270871))Solexa intron data; replaced 2 internal exons with a different single exonPMID:18488015
SPAC2C4.11crbp28afterI:complement(join(4278729..4279405,4279457..4279505))Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC2C4.11crbp28beforeI:complement(4278729..4279505)Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC2F3.18cafterI:complement(join(3942299..3942364,3942506..3942730))Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC2F3.18cbeforeI:complement(3942398..3942730)Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC30.03ctsn1afterI:complement(join(4394707..4394741,4394799..4394967,4395010..4395092,4395131..4395367,4395416..4395491,4395530..4395592))Solexa transread data; added in-frame intron to (previous) 2nd exon, improved homologyPMID:18488015
SPAC30.03ctsn1beforeI:complement(join(4394707..4394741,4394799..4394967,4395010..4395092,4395131..4395491,4395530..4395592))Solexa transread data; added in-frame intron to (previous) 2nd exon, improved homologyPMID:18488015
SPAC30C2.05erv14afterI:join(4639884..4639924,4639969..4640020,4640076..4640365,4640447..4640477)Solexa transread data; added new 5’ intron/exon, improved homologyPMID:18488015
SPAC30C2.05erv14beforeI:join(4639916..4640020,4640076..4640365,4640447..4640477)Solexa transread data; added new 5’ intron/exon, improved homologyPMID:18488015
SPAC328.05afterI:join(3484695..3484698,3484752..3485065,3485241..3485342,3485382..3485528,3485582..3485974,3486056..3486502)Solexa intron data; removed in-frame splice (exon 5), unsupportedPMID:18488015
SPAC328.05beforeI:join(3484695..3484698,3484752..3485065,3485241..3485342,3485382..3485528,3485582..3485807,3485910..3485974,3486056..3486502)Solexa intron data; removed in-frame splice (exon 5), unsupportedPMID:18488015
SPAC3A12.05ctaf2afterI:complement(join(1426213..1427148,1427189..1429617,1429709..1429830,1429882..1429913))Solexa intron data; improved distance between branch and acceptorPMID:18488015
SPAC3A12.05ctaf2beforeI:complement(join(1426213..1427148,1427189..1429617,1429709..1429836,1429882..1429913))Solexa intron data; improved distance between branch and acceptorPMID:18488015
SPAC4F10.08mug126afterI:join(4844855..4845824,4845863..4846063,4846104..4846129)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC4F10.08mug126beforeI:join(4844855..4845824,4845863..4846203)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC56F8.04ccoq2afterI:complement(join(1133226..1134283,1134332..1134356))Solexa transread data; added 5’ intron/exonPMID:18488015
SPAC56F8.04ccoq2beforeI:complement(1133226..1134302)Solexa transread data; added 5’ intron/exonPMID:18488015
SPAC589.02cmed13afterI:complement(join(3095075..3098590,3098626..3098781,3098878..3098883))Solexa intron data; improved branch/acceptor for 1st intronPMID:18488015
SPAC589.02cmed13beforeI:complement(join(3095075..3098590,3098626..3098775,3098878..3098883))Solexa intron data; improved branch/acceptor for 1st intronPMID:18488015
SPAC630.11vps55afterI:join(366801..366817,366873..366891,366968..367040,367105..367189,367293..367348,367395..367531)Solexa transread data; changed internal intron acceptor, improved homologyPMID:18488015
SPAC630.11vps55beforeI:join(366801..366817,366873..366891,366968..367040,367123..367189,367293..367348,367395..367531)Solexa transread data; changed internal intron acceptor, improved homologyPMID:18488015
SPAC6F12.08cafterI:complement(join(1322439..1323955,1323999..1324140,1324195..1324252,1324299..1324336))Solexa intron data; improved branch acceptor for intron 1PMID:18488015
SPAC6F12.08cbeforeI:complement(join(1322439..1323955,1323999..1324140,1324195..1324234,1324299..1324336))Solexa intron data; improved branch acceptor for intron 1PMID:18488015
SPAC823.04afterI:join(2587729..2587897,2588106..2588620)Solexa transread dataPMID:18488015
SPAC823.04beforeI:join(2587729..2587897,2588085..2588620)Solexa transread dataPMID:18488015
SPAC823.09cafterI:complement(join(2594777..2594913,2594966..2595693,2595734..2595819))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC823.09cbeforeI:complement(join(2594922..2595693,2595734..2595819))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC890.07crmt1afterI:complement(join(5016020..5016026,5016076..5016215,5016262..5016596,5016649..5016943,5016994..5017059,5017138..5017252,5017421..5017433,5017700..5017703,5017782..5017829))Solexa transread data; added small N terminal exon, which added a single conserved cysteinePMID:18488015
SPAC890.07crmt1beforeI:complement(join(5016072..5016215,5016262..5016596,5016649..5016943,5016994..5017059,5017138..5017252,5017421..5017433,5017700..5017703,5017782..5017829))Solexa transread data; added small N terminal exon, which added a single conserved cysteinePMID:18488015
SPAC8C9.19afterI:join(3660430..3660438,3660491..3660556,3660607..3660717)Solexa intron data; deleted final exon, unsupported, improved length and alignment to orthologsPMID:18488015
SPAC8C9.19beforeI:join(3660430..3660438,3660491..3660556,3660607..3660713,3660784..3660886)Solexa intron data; deleted final exon, unsupported, improved length and alignment to orthologsPMID:18488015
SPAC9.06cafterI:complement(join(1473692..1473885,1473939..1474105,1474153..1474212,1474264..1474341,1474381..1474404,1474460..1474539))Solexa transread dataPMID:18488015
SPAC9.06cbeforeI:complement(join(1473692..1473885,1473939..1474105,1474153..1474212,1474264..1474341,1474460..1474539))Solexa transread dataPMID:18488015
SPAC9G1.13cafterI:complement(join(1995208..1996148,1996191..1996268,1996325..1996413,1996478..1996683))Solexa intron data; added a new 3rd exon, improved homologyPMID:18488015
SPAC9G1.13cbeforeI:complement(join(1995208..1996148,1996325..1996413,1996478..1996683))Solexa intron data; added a new 3rd exon, improved homologyPMID:18488015
SPAPB17E12.03afterI:join(1271889..1271972,1272015..1272962)Solexa intron data; removed in-frame splice, unsupported, improved homologyPMID:18488015
SPAPB17E12.03beforeI:join(1271889..1271972,1272015..1272386,1272483..1272962)Solexa intron data; removed in-frame splice, unsupported, improved homologyPMID:18488015
SPAPB17E12.08afterI:join(1279573..1279779,1279820..1279869,1279953..1280325)Solexa transread data; changed first donor to make n-terminal exon longer, improved homologyPMID:18488015
SPAPB17E12.08beforeI:join(1279573..1279644,1279820..1279869,1279953..1280325)Solexa transread data; changed first donor to make n-terminal exon longer, improved homologyPMID:18488015
SPAPB18E9.01trm5afterI:join(3974310..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975962,3976014..3976079)Solexa transread data; added small 3’ exon, improved homologyPMID:18488015
SPAPB18E9.01trm5beforeI:join(3974310..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975983)Solexa transread data; added small 3’ exon, improved homologyPMID:18488015
SPAPB1A10.16afterI:join(1863972..1864360,1864415..1864457)Solexa transread dataPMID:18488015
SPAPB1A10.16beforeI:1863972..1864388Solexa transread dataPMID:18488015
SPAPB2B4.06afterI:join(2722735..2723210,2723273..2723300,2723349..2723559,2723608..2723660)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPAPB2B4.06beforeI:join(2722735..2723210,2723273..2723300,2723349..2723582)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPBC106.05ctim11afterII:complement(join(383527..383612,383703..383874,383940..383960))Solexa transread data; changed 5’ exonPMID:18488015
SPBC106.05ctim11beforeII:complement(join(383527..383612,383703..383874,383980..384012))Solexa transread data; changed 5’ exonPMID:18488015
SPBC13G1.04cafterII:complement(join(3732806..3732930,3732994..3733762))Solexa transread data; added new 3’ intron and exon, improved homologyPMID:18488015
SPBC13G1.04cbeforeII:complement(3732941..3733762)Solexa transread data; added new 3’ intron and exon, improved homologyPMID:18488015
SPBC15D4.13cafterII:complement(join(3032492..3032710,3032761..3032822,3032889..3033222))Solexa intron data; better donor for first intronPMID:18488015
SPBC15D4.13cbeforeII:complement(join(3032492..3032710,3032761..3032822,3032865..3033222))Solexa intron data; better donor for first intronPMID:18488015
SPBC16C6.03cafterII:complement(4332698..4333123)Solexa intron data; final exon, unsupported removedPMID:18488015
SPBC16C6.03cbeforeII:complement(join(4332356..4332454,4332746..4333123))Solexa intron data; final exon, unsupported removedPMID:18488015
SPBC16D10.02trm11afterII:join(3588806..3589595,3589639..3589803,3589845..3590123,3590163..3590278,3590327..3590386)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC16D10.02trm11beforeII:join(3588806..3589595,3589639..3589803,3589845..3590123,3590163..3590287)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC16D10.10afterII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618918,3618956..3619071,3619113..3619321,3619366..3619540)Solexa transread data; changed 2 introns (existing 4 and 5) to create a new exon 5, improved homologyPMID:18488015
SPBC16D10.10beforeII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618971,3619077..3619321,3619366..3619540)Solexa transread data; changed 2 introns (existing 4 and 5) to create a new exon 5, improved homologyPMID:18488015
SPBC16E9.16clsd90afterII:complement(join(1947985..1948953,1948955..1950050,1950053..1950255))gene structure revised to remove introns, genome sequence contains 2 frameshiftsPMID:18079165
SPBC16E9.16cbeforeII:complement(join(1947985..1949069,1949218..1950058,1950253..1950255))gene structure revised to remove introns, genome sequence contains 2 frameshiftsPMID:18079165
SPBC19G7.06mbx1afterII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360064..2361092)
SPBC19G7.06mbx1beforeII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360001..2361092)
SPBC19G7.10cafterII:complement(join(2369064..2369190,2369246..2369416,2369455..2371243,2371351..2371451,2371507..2371583))
SPBC19G7.10cbeforeII:complement(join(2369064..2369160,2369246..2369416,2369455..2371243,2371351..2371451,2371507..2371583))
SPBC21.03cafterII:complement(join(3217985..3218424,3218462..3218491,3218580..3218651,3218704..3218947))Solexa intron data; changed 2 internal introns, now agrees with transread data, but still potential to be incorrectPMID:18488015
SPBC21.03cbeforeII:complement(join(3217985..3218424,3218467..3218491,3218693..3218947))Solexa intron data; changed 2 internal introns, now agrees with transread data, but still potential to be incorrectPMID:18488015
SPBC21C3.07cafterII:complement(join(3807714..3807783,3807831..3807891,3807946..3808607,3808665..3808795))
SPBC21C3.07cafterII:complement(join(3807827..3807891,3807946..3808607,3808665..3808795))Solexa transread data; added two 3’ exonsPMID:18488015
SPBC2A9.07cafterII:complement(join(2959078..2959129,2959172..2959902))Solexa transread data; added in-frame intron, improved homologyPMID:18488015
SPBC2A9.07cbeforeII:complement(2959078..2959902)Solexa transread data; added in-frame intron, improved homologyPMID:18488015
SPBC2D10.15cafterII:complement(join(2995324..2995497,2995534..2995579,2995619..2995923,2995971..2996066))Solexa transread dataPMID:18488015
SPBC2D10.15cbeforeII:complement(join(2995324..2995579,2995619..2995923,2995971..2996066))Solexa transread dataPMID:18488015
SPBC2D10.16afterII:join(2996452..2996463,2996509..2996687,2996738..2996879)Solexa transread data; added new intron in second exon, which created a new 3rd exon, and identified homology with Cenp-S (was previously sequence orphan)PMID:18488015
SPBC2D10.16beforeII:join(2996452..2996463,2996509..2996904)Solexa transread data; added new intron in second exon, which created a new 3rd exon, and identified homology with Cenp-S (was previously sequence orphan)PMID:18488015
SPBC31F10.12afterII:join(3773308..3773318,3773373..3773525,3773581..3773678,3773795..3773999,3774059..3774116,3774192..3774212)Solexa transread data; added new 5’ intron and exonPMID:18488015
SPBC31F10.12beforeII:join(3773353..3773525,3773581..3773678,3773795..3773999,3774059..3774116,3774192..3774212)Solexa transread data; added new 5’ intron and exonPMID:18488015
SPBC32H8.08cafterII:complement(join(1465811..1466035,1466138..1467057,1467311..1467431))Solexa intron data; removed 5’ intron/exon (unsupported) and trimmed to next metPMID:18488015
SPBC32H8.08cbeforeII:complement(join(1465811..1466035,1466138..1467057,1467311..1467456,1467514..1467539))Solexa intron data; removed 5’ intron/exon (unsupported) and trimmed to next metPMID:18488015
SPBC4.02cafterII:complement(join(1185617..1186640,1186738..1186846,1187087..1187162,1187220..1187324))
SPBC4.02cbeforeII:complement(join(1185617..1186640,1186738..1186846,1187087..1187324))
SPBC582.04cafterII:complement(join(423269..423598,423669..423738,423782..423871,423912..424373,424424..424692,424747..424872,424921..425160,425223..425350,425410..425446))Solexa transread data; added in-frame intron to (existing) exon 3PMID:18488015
SPBC582.04cbeforeII:complement(join(423269..423598,423669..423738,423782..423871,423912..424373,424424..424872,424921..425160,425223..425350,425410..425446))Solexa transread data; added in-frame intron to (existing) exon 3PMID:18488015
SPBC725.04afterII:join(1208965..1210626,1210678..1210722)
SPBC725.04beforeII:join(1208965..1210626,1210660..1210722)
SPBC8D2.17afterII:join(1390183..1391093,1391147..1391222)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC8D2.17beforeII:1390183..1391238Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC947.03cafterII:join(676629..676908,677057..677127)Solexa transread data; added 5’ inton/exon, improved homologyPMID:18488015
SPBC947.03cbeforeII:676629..676931Solexa transread data; added 5’ inton/exon, improved homologyPMID:18488015
SPBP35G2.06cnup131afterII:complement(join(973049..974181,974223..974577,974647..975002,975044..975137,975172..976632))Solexa intron data; changed donor for intron 3PMID:18488015
SPBP35G2.06cnup131beforeII:complement(join(973049..974181,974223..974577,974617..975002,975044..975137,975172..976632))Solexa intron data; changed donor for intron 3PMID:18488015
SPBP4H10.12afterII:join(2895855..2895863,2896001..2896459,2896516..2896587)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPBP4H10.12beforeII:join(2895855..2895863,2896001..2896507)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPBP4H10.15afterII:join(2903103..2905816,2905857..2905881)
SPBP4H10.15beforeII:2903103..2905820
SPBPB2B2.18afterII:join(4502692..4502725,4502787..4502857,4503068..4503286,4503527..4503664)Solexa transread data; changed 5’ intron/exonPMID:18488015
SPBPB2B2.18beforeII:join(4502439..4502463,4502712..4502857,4503068..4503286,4503527..4503664)Solexa transread data; changed 5’ intron/exonPMID:18488015
SPBPJ4664.05afterII:join(705932..706077,706141..706666)Solexa transread data; added new 5’ intron and exon, improved homologyPMID:18488015
SPBPJ4664.05beforeII:706175..706666Solexa transread data; added new 5’ intron and exon, improved homologyPMID:18488015
SPCC1020.11cafterIII:join(757365..757424,757506..757761,757851..757861)Solexa transread data; added 3’intron/exonPMID:18488015
SPCC1020.11cbeforeIII:join(757365..757424,757506..757802)Solexa transread data; added 3’intron/exonPMID:18488015
SPCC1393.06cafterIII:complement(join(804627..805627,805678..805800,805849..805921,805965..806009))Solexa intron data; changed first intron and added a new 2nd exon, improved homology, also confirmed by transread dataPMID:18488015
SPCC1393.06cbeforeIII:complement(join(804627..805627,805678..805800,805907..806009))Solexa intron data; changed first intron and added a new 2nd exon, improved homology, also confirmed by transread dataPMID:18488015
SPCC1442.08ccox12afterIII:complement(join(1781505..1781563,1781637..1781744,1781830..1781855,1781920..1781935,1781981..1782032))Solexa transread data; added 2 small 5’ exons, improved homologyPMID:18488015
SPCC1442.08ccox12beforeIII:complement(join(1781505..1781563,1781637..1781744,1781830..1781914))Solexa transread data; added 2 small 5’ exons, improved homologyPMID:18488015
SPCC1450.14cero12afterIII:complement(1759295..1760998)Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC1450.14cero12beforeIII:complement(join(1759295..1760998,1761117..1761128))Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC1620.09ctfg1afterIII:complement(join(2161331..2161515,2161565..2162363,2162405..2162500,2162584..2163123))Solexa transread data; added 5’ exon, improved homologyPMID:18488015
SPCC1620.09ctfg1beforeIII:complement(join(2161527..2162363,2162405..2162500,2162584..2163123))Solexa transread data; added 5’ exon, improved homologyPMID:18488015
SPCC1620.10cwf26afterIII:join(2163205..2164118,2164159..2164165)Solexa transread data; added 3’ exon encoding single methioninePMID:18488015
SPCC1620.10cwf26beforeIII:2163205..2164122Solexa transread data; added 3’ exon encoding single methioninePMID:18488015
SPCC16C4.01sif2afterIII:join(658832..659139,659223..659488,659567..659628,659709..660197,660298..660322)Solexa transread data; added 3’ intron which changed frame of final exon, shorter product, improved homologyPMID:18488015
SPCC16C4.01sif2beforeIII:join(658832..659139,659223..659488,659567..659628,659709..660413)Solexa transread data; added 3’ intron which changed frame of final exon, shorter product, improved homologyPMID:18488015
SPCC16C4.16cafterIII:complement(join(697605..697752,697875..698127,698180..698399))Solexa transread data; added 3’ intron/exon, improved homologyPMID:18488015
SPCC16C4.16cbeforeIII:complement(join(697862..698127,698180..698399))Solexa transread data; added 3’ intron/exon, improved homologyPMID:18488015
SPCC1827.02cafterIII:complement(2377039..2378127)Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC1827.02cbeforeIII:complement(join(2377039..2378078,2378197..2378221))Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC338.08ctp1afterIII:complement(join(1358885..1359082,1359121..1359819))in accordance with paperpers. comm. Paul Russell; PMID:18378696
SPCC338.08ctp1beforeIII:complement(1358962..1359819)in accordance with paperpers. comm. Paul Russell; PMID:18378696
SPCC63.10cafterIII:complement(join(854651..855926,855984..856213))Solexa intron data; deleted 2nd and 3rd introns, were not required or supportedPMID:18488015
SPCC63.10cbeforeIII:complement(join(854651..855695,855766..855800,855839..855926,855984..856213))Solexa intron data; deleted 2nd and 3rd introns, were not required or supportedPMID:18488015
SPCC736.12cmmi1afterIII:complement(join(337829..337985,338030..338178,338232..338347,338395..339354,339483..339567))Solexa transread data; added 3’ exon, improved homologyPMID:18488015
SPCC736.12cmmi1beforeIII:complement(join(338026..338178,338232..338347,338395..339354,339483..339567))Solexa transread data; added 3’ exon, improved homologyPMID:18488015
SPCC830.02wtf24afterIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182371,2182422..2182504)
SPCC830.02wtf24beforeIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182504)
SPAC1639.01cafterI:complement(join(251726..252337,252392..252752,253590..253630))
SPAC1639.01cbeforeI:complement(join(251726..252337,252392..252752,252945..252958))
SPAC16A10.06cnse2afterI:complement(join(3089583..3090047,3090112..3090285,3090533..3090697))Solexa intron data; revised intron structure/original intron absent from Solexa dataPMID:18488015
SPAC16A10.06cnse2beforeI:complement(join(3089583..3089996,3090112..3090285,3090533..3090697))Solexa intron data; revised intron structure/original intron absent from Solexa dataPMID:18488015
SPAC17C9.08pnu1afterI:complement(join(4484835..4485274,4485350..4485596,4485713..4485994))Solexa intron data; revised intron structure/original intron absent from Solexa data and unsupported from mRNA data so final exon deletedPMID:18488015
SPAC17C9.08pnu1beforeI:complement(join(4484758..4484804,4484843..4485274,4485350..4485596,4485713..4485994))Solexa intron data; revised intron structure/original intron absent from Solexa data and unsupported from mRNA data so final exon deletedPMID:18488015
SPAC227.11cafterI:complement(join(514552..515082,515222..515482,515534..515659))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC227.11cbeforeI:complement(join(514434..514489,514557..515082,515222..515482,515534..515659))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC23D3.08usp108afterI:join(4352514..4353359,4353410..4353577)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC23D3.08usp108beforeI:join(4352514..4353359,4353410..4353573,4353623..4353761)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC29E6.03cuso1afterI:complement(join(4405990..4407375,4407447..4409096,4409171..4409338))Solexa intron data; changed internal splice site, better intron, slightly improved homology; deleted final small exon, unsupportedPMID:18488015
SPAC29E6.03cuso1beforeI:complement(join(4405871..4405889,4405994..4407291,4407447..4409096,4409171..4409338))Solexa intron data; changed internal splice site, better intron, slightly improved homology; deleted final small exon, unsupportedPMID:18488015
SPAC4C5.01afterI:join(1192545..1192592,1192662..1192704,1192779..1192841,1192916..1193010,1193062..1193145,1193197..1193613)Solexa intron data` altered intron 5 to improve donor and acceptor, improved homologyPMID:18488015
SPAC4C5.01beforeI:join(1192545..1192592,1192662..1192704,1192779..1192841,1192916..1193010,1193062..1193175,1193236..1193613)Solexa intron data` altered intron 5 to improve donor and acceptor, improved homologyPMID:18488015
SPAC56F8.05cmug64afterI:complement(join(1134697..1135061,1135195..1135402,1135517..1135684,1135729..1135776,1135932..1136003))Solexa intron data; revised intron structure/original intron absent from Solexa data. N terminal exon unsupported and had no branch site so exon deletedPMID:18488015
SPAC56F8.05cmug64beforeI:complement(join(1134697..1135061,1135195..1135402,1135517..1135684,1135729..1135776,1135932..1135970,1136111..1136170))Solexa intron data; revised intron structure/original intron absent from Solexa data. N terminal exon unsupported and had no branch site so exon deletedPMID:18488015
SPAC631.02afterI:join(2107470..2107515,2107860..2110123)Solexa transcript dataPMID:18488015
SPAC631.02beforeI:2107940..2110123Solexa transcript dataPMID:18488015
SPAC688.08srb8afterI:join(3123163..3125057,3125099..3126310,3126356..3126653)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC688.08srb8beforeI:join(3123163..3125057,3125099..3126310,3126356..3126631,3126671..3126989)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC6G9.16cafterI:complement(join(3278951..3279367,3279420..3279539,3279683..3279819,3279865..3279985))Solexa transcript dataPMID:18488015
SPAC6G9.16cbeforeI:complement(3278951..3279349)Solexa transcript dataPMID:18488015
SPAC823.04afterI:join(2587729..2587897,2588085..2588620)Solexa intron data; changed first intron acceptor, which gave a different N-term exon and improved homologyPMID:18488015
SPAC823.04beforeI:join(2587859..2587897,2588090..2588620)Solexa intron data; changed first intron acceptor, which gave a different N-term exon and improved homologyPMID:18488015
SPAPB17E12.08afterI:join(1279573..1279644,1279820..1279869,1279953..1280325)Solexa intron data; revised intron structure/original intron absent from Solexa data so small N-term exon deletedPMID:18488015
SPAPB17E12.08beforeI:join(1279492..1279506,1279582..1279644,1279820..1279869,1279953..1280325)Solexa intron data; revised intron structure/original intron absent from Solexa data so small N-term exon deletedPMID:18488015
SPAPB1A10.03nxt1afterI:join(1863363..1863381,1863434..1863762)Solexa intron data; SPAPB1A10.03 split to create SPAPB1A10.03 and SPAPB1A10.16; new coordinates 1863363..1863381, 1863434..1863762 and 1863972..1864388PMID:18488015
SPAPB1A10.03nxt1beforeI:join(1863363..1863381,1863434..1863705,1864077..1864388)Solexa intron data; SPAPB1A10.03 split to create SPAPB1A10.03 and SPAPB1A10.16; new coordinates 1863363..1863381, 1863434..1863762 and 1863972..1864388PMID:18488015
SPAPB1A10.15afterI:join(1892554..1892640,1892926..1893060,1893098..1893694)Solexa intron data; revised intron structure/original intron absent from Solexa data so small C-term exon deletedPMID:18488015
SPAPB1A10.15beforeI:join(1892554..1892640,1892926..1893060,1893098..1893504,1893585..1893618)Solexa intron data; revised intron structure/original intron absent from Solexa data so small C-term exon deletedPMID:18488015
SPBC11B10.03cog8afterII:1490611..1491747Solexa intron data; removed N-teminal exon, poor donor, did not improve homologyPMID:18488015
SPBC11B10.03cog8beforeII:join(1490376..1490423,1490593..1491747)Solexa intron data; removed N-teminal exon, poor donor, did not improve homologyPMID:18488015
SPBC1604.17cafterII:join(3900047..3900121,3900166..3901170,3901219..3901542)Solexa intron data; updated, better donor (GTAATA instead of GTTAGT); original intron prediction not supported by Solexa dataPMID:18488015
SPBC1604.17cbeforeII:join(3900047..3900121,3900166..3901146,3901219..3901542)Solexa intron data; updated, better donor (GTAATA instead of GTTAGT); original intron prediction not supported by Solexa dataPMID:18488015
SPBC16A3.14afterII:complement(4271131..4271937)Solexa intron data; removed final exon, unsupported by dataPMID:18488015
SPBC16A3.14beforeII:complement(join(4270907..4270939,4271137..4271937))Solexa intron data; removed final exon, unsupported by dataPMID:18488015
SPBC16D10.10afterII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618971,3619077..3619321,3619366..3619540)Solexa intron data; exon 4 splice alteredPMID:18488015
SPBC16D10.10beforeII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618920,3619065..3619321,3619366..3619540)Solexa intron data; exon 4 splice alteredPMID:18488015
SPBC16H5.04afterII:complement(join(2293393..2293775,2293877..2294039,2294087..2294125))Solexa intron data; altered intron 2 donor and acceptor, improved homologyPMID:18488015
SPBC16H5.04beforeII:complement(join(2293393..2293824,2293938..2294039,2294087..2294125))Solexa intron data; altered intron 2 donor and acceptor, improved homologyPMID:18488015
SPBC19G7.06mbx1afterII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360001..2361092)Christopher J. McInerny
SPBC19G7.06mbx1beforeII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360064..2361092)Christopher J. McInerny
SPBC21B10.02afterII:complement(1669719..1670144)Solexa intron data; intron unsupported by Solexa transcript data, removed final exonPMID:18488015
SPBC21B10.02beforeII:complement(join(1669624..1669695,1669737..1670144))Solexa intron data; intron unsupported by Solexa transcript data, removed final exonPMID:18488015
SPBC21C3.07cafterII:complement(join(3807920..3808607,3808665..3808795))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPBC21C3.07cbeforeII:complement(join(3807714..3807783,3807963..3808607,3808665..3808795))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPBC29A3.07cafterII:complement(join(2050258..2050358,2050452..2050695))Solexa intron data; final exon deleted, not supported by Solexa intron data; homology improvedPMID:18488015
SPBC29A3.07cbeforeII:complement(join(2050069..2050183,2050304..2050358,2050452..2050695))Solexa intron data; final exon deleted, not supported by Solexa intron data; homology improvedPMID:18488015
SPBC354.07cafterII:complement(join(558335..559225,559273..559474,559942..560028,560151..560163,560231..560246))Solexa transcript data; additional exon addedPMID:18488015
SPBC354.07cbeforeII:complement(join(558335..559225,559273..559474,559942..560028,560151..560170))Solexa transcript data; additional exon addedPMID:18488015
SPBPB2B2.07cafterII:complement(join(4474145..4474403,4474438..4474931))Solexa transcript dataPMID:18488015
SPBPB2B2.07cbeforeII:complement(4474434..4474931)Solexa transcript dataPMID:18488015
SPCC1442.13cafterIII:complement(1791346..1791909)Solexa intron data; deleted final exon, improved homologyPMID:18488015
SPCC1442.13cbeforeIII:complement(join(1791196..1791285,1791376..1791909))Solexa intron data; deleted final exon, improved homologyPMID:18488015
SPCC1450.09cafterIII:complement(1741588..1743459)Solexa intron data; original intron absent from Solexa data; C terminal exon unsupported so exon deletedPMID:18488015
SPCC1450.09cbeforeIII:complement(join(1741451..1741481,1741589..1743459))Solexa intron data; original intron absent from Solexa data; C terminal exon unsupported so exon deletedPMID:18488015
SPCC1494.02ctaf13afterIII:complement(join(2318335..2318508,2318579..2318676,2318903..2318966))Solexa intron data; 2 C-terminal exons removed, not supported by homologyPMID:18488015
SPCC1494.02ctaf13beforeIII:complement(join(2317988..2318068,2318200..2318244,2318398..2318508,2318579..2318676,2318903..2318966))Solexa intron data; 2 C-terminal exons removed, not supported by homologyPMID:18488015
SPCC18.18cfum1afterIII:complement(join(1988631..1990100,1990630..1990722))Solexa transcript dataPMID:18488015
SPCC18.18cfum1beforeIII:complement(1988631..1990079)Solexa transcript dataPMID:18488015
SPCC622.14afterIII:join(1427098..1427310,1427632..1427709,1427788..1428216,1428277..1428522)Solexa intron data; altered donor for intron 3, improved donor consensusPMID:18488015
SPCC622.14beforeIII:join(1427098..1427310,1427632..1427709,1427788..1428180,1428277..1428522)Solexa intron data; altered donor for intron 3, improved donor consensusPMID:18488015
SPCC736.05wtf7afterIII:join(320617..320755,320964..321335,321387..321523)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPCC736.05wtf7beforeIII:join(320617..320755,320964..321335,321387..321509,321554..321582)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPCC1020.11cafterIII:join(757365..757424,757506..757802)Solexa transcript dataPMID:18488015
SPCC1020.11cbeforeIII:757494..757802Solexa transcript dataPMID:18488015
SPCC1529.01afterIII:join(237554..237923,237975..238080,238139..238533,238588..239092,239151..239250)Solexa transcript data; new exon addedPMID:18488015
SPCC1529.01beforeIII:join(237554..237923,237975..238080,238139..238533,238588..239105)Solexa transcript data; new exon addedPMID:18488015
SPBC725.04afterII:join(1208965..1210626,1210660..1210722)
SPBC725.04beforeII:join(1208965..1210626,1210678..1210722)
SPAC22F8.07crtf1afterI:complement(join(4797267..4797376,4797424..4797575,4797621..4797953,4797992..4798103,4798143..4798230,4798276..4798442,4798490..4798928))Two in-frame splices addedEMBL:AJ627891
SPAC22F8.07crtf1beforeI:complement(join(4797267..4797376,4797424..4797953,4797992..4798103,4798143..4798442,4798490..4798928))Two in-frame splices addedEMBL:AJ627891
SPAC23C4.04cafterI:1036033..1036347altered to include stop codon and trimmed to methioninepers. comm. Val Wood
SPAC23C4.04cbeforeI:1036027..1036344altered to include stop codon and trimmed to methioninepers. comm. Val Wood
SPAC9E9.02afterI:complement(4435617..4435913)altered to include stop codonpers. comm. Val Wood
SPAC9E9.02beforeI:complement(4435620..4435913)altered to include stop codonpers. comm. Val Wood
SPCC338.03cafterIII:1368919..1369344
SPCC338.03cbeforeIII:1368919..1369341
SPAC11D3.11cafterI:complement(join(127165..129059,129103..129127,129172..129185))
SPAC11D3.11cbeforeI:complement(join(127165..128028,128028..129059,129103..129127,129172..129185))
SPAPB24D3.05cafterI:complement(2954989..2955350)
SPAPB24D3.05cbeforeI:complement(join(2954989..2955225,2955225..2955350))
SPBCPT2R1.07cafterII:complement(4523274..4524970)
SPBCPT2R1.07cbeforeII:complement(join(4523274..4524496,4524496..4524970))
SPCC18B5.02cafterIII:complement(717851..718869)
SPCC18B5.02cbeforeIII:complement(join(717851..718698,718698..718869))
SPAC29E6.04afterI:join(4409773..4410192,4410194..4410391)Sequence frameshifted at 4410192, new coordinates give an N terminal extension from 4410194..4410391 (NOTE: Still needs resequencing and underlying sequence changing)PMID:17035632
SPAC29E6.04beforeI:4409773..4410210Sequence frameshifted at 4410192, new coordinates give an N terminal extension from 4410194..4410391 (NOTE: Still needs resequencing and underlying sequence changing)PMID:17035632
SPAC13G7.07afterI:join(2309026..2309212,2309259..2309569,2309610..2309667,2309714..2309958)changed second exon 3’ boundary and added C-terminal exonsPMID:17310250
SPAC13G7.07beforeI:join(2309026..2309212,2309259..2309650)changed second exon 3’ boundary and added C-terminal exonsPMID:17310250
SPAC4H3.06afterI:join(3837449..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.06beforeI:join(3837431..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPBP22H7.09cmis15afterII:complement(join(1449715..1450274,1450328..1450690,1450749..1451055))updated sequence coordinatesPMID:15369671
SPBP22H7.09cmis15beforeII:complement(join(1449715..1450282,1450330..1450690,1450749..1451055))updated sequence coordinatesPMID:15369671
SPAPB17E12.08afterI:join(1280392..1280406,1280482..1280544,1280720..1280769,1280853..1281225)Improved homologypers. comm. Val Wood
SPAPB17E12.08beforeI:join(1280751..1280773,1280853..1281225)Improved homologypers. comm. Val Wood
SPCC1223.10ceaf1afterIII:complement(join(1861667..1862158,1862283..1862369,1862535..1862626,1862729..1862813))Added exonsPMID:17150956
SPCC1223.10cbeforeIII:complement(join(1861667..1862158,1862283..1862369,1862729..1862749))Added exonsPMID:17150956
SPCC18.01cafterIII:complement(1949478..1952873)
SPCC18.01cbeforeIII:complement(1949478..1952744)
SPBC30B4.08afterII:join(1321592..1321719,1321797..1321904,1321966..1322371,1322434..1322733)gene structure updatedPMID:16797182
SPBC30B4.08beforeII:join(1321592..1321719,1321966..1322371,1322434..1322733)gene structure updatedPMID:16797182
SPCC18.01cafterIII:complement(1949478..1952744)
SPCC18.01cbeforeIII:complement(1949478..1952873)
SPBC409.12cafterII:complement(join(1162796..1163565,1163720..1163818,1163874..1163982))N-terminal extended by 2 exonspers. comm. C. Chahwan
SPBC409.12cbeforeII:complement(1162796..1163485)N-terminal extended by 2 exonspers. comm. C. Chahwan
SPAC1556.06beforeI:join(3803451..3805487,3805561..3805854)
SPAC1556.06beforeI:join(3805482..3805487,3805561..3805854)
SPAC12D12.09afterII:join(2315344..2315374,2315424..2315450,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316007,2316077..2316276)truncated penultimate exon to remove GIN and added new exon to insert KCIDIFGEFpers. comm. Nicole Kosarek
SPAC12D12.09beforeII:join(2315344..2315374,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316016,2316077..2316276)truncated penultimate exon to remove GIN and added new exon to insert KCIDIFGEFpers. comm. Nicole Kosarek
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167643..1167667,1167715..1168223,1168273..1168737)
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPAC1556.06afterI:join(3803451..3805487,3805561..3805854)
SPAC1556.06afterI:join(3805482..3805487,3805561..3805854)
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167643..1167667,1167715..1168223,1168273..1168737)
SPAC1556.06beforeI:join(3803451..3805487,3805561..3805854)
SPAC1556.06beforeI:join(3805482..3805487,3805561..3805854)
SPAC21E11.05cafterI:complement(join(4256629..4257052,4257118..4258032,4258173..4258384))
SPAC21E11.05cbeforeI:complement(join(4256629..4257052,4257118..4258032,4258173..4258234,4258314..4258328))
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167643..1167667,1167715..1168223,1168273..1168737)Improves Homologypers. comm. Val Wood
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)Improves Homologypers. comm. Val Wood
SPAC1556.06afterI:join(3803451..3805487,3805561..3805854)
SPAC1556.06afterI:join(3805482..3805487,3805561..3805854)
SPAC21E11.05cafterI:complement(join(4256629..4257052,4257118..4258032,4258173..4258234,4258314..4258328))Single base insertion allowed first 2 exons to be merged and extended (GAGT[G]GCA)pers. comm. Trevor Pemberton (via Ivo Pedruzzi, UniProt)
SPAC21E11.05cbeforeI:complement(join(4255729..4256152,4256218..4257132,4257273..4257484))Single base insertion allowed first 2 exons to be merged and extended (GAGT[G]GCA)pers. comm. Trevor Pemberton (via Ivo Pedruzzi, UniProt)
SPAPB17E12.08afterI:join(1280751..1280773,1280853..1281225)
SPAPB17E12.08beforeI:join(1279492..1279506,1279582..1279644,1279820..1279869,1279953..1280325)
SPAC12D12.09afterII:join(2315344..2315374,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316016,2316077..2316276)
SPAC12D12.09beforeII:join(2313544..2313574,2313624..2313650,2313694..2313744,2313785..2313897,2313940..2314055,2314104..2314207,2314277..2314476)
SPBC30B4.08afterII:join(1321592..1321719,1321966..1322371,1322434..1322733)
SPBC30B4.08beforeII:join(1320692..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC409.12cafterII:complement(1162796..1163485)
SPBC409.12cbeforeII:complement(join(1161896..1162665,1162820..1162918,1162974..1163082))
SPBP22H7.09cmis15afterII:complement(join(1449715..1450282,1450330..1450690,1450749..1451055))
SPBP22H7.09cmis15beforeII:complement(join(1448815..1449374,1449428..1449790,1449849..1450155))
SPCC1223.10cafterIII:complement(join(1861667..1862158,1862283..1862369,1862729..1862749))
SPCC1223.10ceaf1beforeIII:complement(join(1860767..1861258,1861383..1861469,1861635..1861726,1861829..1861913))
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPCC4B3.05chem12beforeIII:join(1166571..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)
SPAC1556.06beforeI:join(3803451..3805487,3805561..3805854)
SPAC1556.06beforeI:join(3805482..3805487,3805561..3805854)
SPAC1D4.11cafterI:complement(656760..658832)lengthened to 690 a.a.PMID:12565823
SPAC1D4.11cbeforeI:complement(657660..659387)lengthened to 690 a.a.PMID:12565823
SPAC21E11.05cafterI:complement(join(4255729..4256152,4256218..4257132,4257273..4257484))
SPAC21E11.05cbeforeI:complement(join(4256629..4257052,4257118..4258032,4258173..4258234,4258314..4258328))
SPAC6G9.13cbqt1afterI:complement(join(3272150..3272265,3272417..3272699))Additional C terminal exonPMID:16615890
SPAC6G9.13cbqt1beforeI:complement(3273294..3273599)Additional C terminal exonPMID:16615890
SPAC9.05afterI:join(1471060..1472508,1472554..1473383,1473440..1473665)second intron acceptor extended by 15 bppers. comm. Anke Schürer
SPAC9.05beforeI:join(1471960..1473408,1473454..1474283,1474325..1474565)second intron acceptor extended by 15 bppers. comm. Anke Schürer
SPAPB17E12.08afterI:join(1279492..1279506,1279582..1279644,1279820..1279869,1279953..1280325)
SPAPB17E12.08beforeI:join(1280751..1280773,1280853..1281225)
SPAC12D12.09afterII:join(2313544..2313574,2313624..2313650,2313694..2313744,2313785..2313897,2313940..2314055,2314104..2314207,2314277..2314476)
SPAC12D12.09beforeII:join(2315344..2315374,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316016,2316077..2316276)
SPBC16E9.16cafterII:complement(join(1947985..1949069,1949218..1950058,1950253..1950255))
SPBC16E9.16cbeforeII:complement(join(1949785..1950717,1950716..1951858,1952053..1952055))
SPBC30B4.08afterII:join(1320692..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC30B4.08beforeII:join(1321592..1321719,1321966..1322371,1322434..1322733)
SPBC3B9.22cdad4afterII:complement(join(4006057..4006170,4006230..4006334))added new C-terminal exon based on Pfam protein familyPfam
SPBC3B9.22cdad4beforeII:complement(4007982..4008134)added new C-terminal exon based on Pfam protein familyPfam
SPBC409.12cafterII:complement(join(1161896..1162665,1162820..1162918,1162974..1163082))
SPBC409.12cbeforeII:complement(1162796..1163485)
SPBCPT2R1.08cafterII:4526885..4532644truncated to 1919 a.a.; removed truncated version of a malate transporter fused to gene, not known whether these residues are included in translationpers. comm. Liew Li Phing
SPBCPT2R1.08cbeforeII:4528142..4534444truncated to 1919 a.a.; removed truncated version of a malate transporter fused to gene, not known whether these residues are included in translationpers. comm. Liew Li Phing
SPBP22H7.09cmis15afterII:complement(join(1448815..1449374,1449428..1449790,1449849..1450155))
SPBP22H7.09cmis15beforeII:complement(join(1449715..1450282,1450330..1450690,1450749..1451055))
SPCC1223.10ceaf1afterIII:complement(join(1860767..1861258,1861383..1861469,1861635..1861726,1861829..1861913))
SPCC1223.10cbeforeIII:complement(join(1861667..1862158,1862283..1862369,1862729..1862749))
SPCC4B3.05chem12afterIII:join(1166571..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPCC4G3.05cafterIII:join(462720..462815,462984..464714)added N terminal exonpers. comm. Fred Kippert
SPCC4G3.05cbeforeIII:462996..464714added N terminal exonpers. comm. Fred Kippert
SPAC17H9.20afterI:join(2037303..2037567,2037613..2037725,2037764..2037859,2037908..2038317,2038368..2039967,2040016..2040420)added intron at 37250..37297PMID:16207082
SPAC17H9.20beforeI:join(2037303..2037567,2037613..2037725,2037764..2038317,2038368..2039967,2040016..2040420)added intron at 37250..37297PMID:16207082
SPAC31G5.06afterI:join(2997204..2997303,2997354..2997958)added N-teminal exon to extend predictionpers. comm. Val Wood
SPAC31G5.06beforeI:2997521..2997958added N-teminal exon to extend predictionpers. comm. Val Wood
SPAC9E9.17cafterI:complement(join(4438210..4438300,4438505..4438547,4438631..4438712,4438759..4438761))
SPAC9E9.17cbeforeI:complement(join(4438210..4438300,4438505..4438584))
SPCC1223.15cspc19afterIII:complement(join(1847115..1847513,1847563..1847605,1847646..1847662))4 amino acid extension at N-terminusPMID:16079914
SPCC1223.15cspc19beforeIII:complement(join(1847115..1847513,1847563..1847605,1847658..1847662))4 amino acid extension at N-terminusPMID:16079914
SPAC1093.04cafterI:complement(join(4617361..4617522,4617567..4618180,4618252..4618834,4618896..4619039))
SPAC1093.04cbeforeI:complement(join(4617361..4617522,4617567..4618180,4618252..4618834,4618896..4619141))
SPAC12G12.13cafterI:322824..324878
SPAC12G12.13cbeforeI:323028..324878
SPAC16A10.06cnse2afterI:complement(join(3090483..3090896,3091012..3091185,3091433..3091597))
SPAC16A10.06cbeforeI:complement(join(3090483..3090947,3091012..3091185,3091433..3091597))
SPAC16E8.10cafterI:complement(join(3519794..3520039,3520127..3520660))
SPAC16E8.10cbeforeI:complement(join(3519794..3520039,3520127..3520606))
SPAC26H5.02cafterI:complement(join(4118187..4118285,4118326..4119100,4119145..4119162,4119208..4119238,4119282..4119873))second intron extended to 115 ntpers. comm. Val Wood
SPAC26H5.02cbeforeI:complement(join(4118248..4119100,4119145..4119162,4119208..4119238,4119282..4119873))second intron extended to 115 ntpers. comm. Val Wood
SPAC3F10.11cafterI:complement(2838168..2842559)
SPAC3F10.11cbeforeI:complement(2838168..2842604)
SPBC20F10.04cnse4afterII:complement(join(3291266..3291358,3291406..3291497,3291543..3291762,3291801..3291894,3291938..3292196,3292241..3292321,3292365..3292428))
SPBC20F10.04cbeforeII:complement(join(3291517..3291762,3291801..3291894,3291938..3292196,3292231..3292324,3292360..3292428))
SPBC30D10.04afterII:complement(join(3092724..3093102,3093161..3093327))
SPBC30D10.04beforeII:complement(3092724..3093170)
SPBC646.06cagn2afterII:complement(933681..934982)
SPBC646.06cagn2beforeII:complement(933759..934982)
SPCC550.05afterIII:join(1195097..1195675,1195724..1195843)
SPCC550.05beforeIII:1195097..1195708
SPCC553.07cafterIII:join(293444..293936,293976..294415,294462..294974,295021..295218)
SPCC553.07cbeforeIII:join(293444..293936,293976..294415,294462..295010)
SPAC1002.01afterI:join(1799247..1799730,1799860..1799915)
SPAC1002.01beforeI:1799247..1799735
SPAC14C4.09agn1afterI:5245106..5246380
SPAC14C4.09beforeI:5239924..5241132
SPAC16A10.04afterI:join(3087938..3087971,3088027..3088068,3088130..3088176,3088284..3088487,3088604..3088738,3088795..3088944)
SPAC16A10.04beforeI:join(3087939..3087957,3088028..3088069,3088131..3088177,3088285..3088488,3088605..3088739,3088796..3088945)
SPAC27D7.12cafterI:complement(4534416..4535147)extended N-terminal to use first MET as startPMID:14623327
SPAC27D7.12cbeforeI:complement(4529168..4529698)extended N-terminal to use first MET as startPMID:14623327
SPAC29B12.08afterI:join(5429685..5429782,5430021..5431971)new N-terminal exonpers. comm. Aengus Stewart
SPAC29B12.08beforeI:5425074..5426723new N-terminal exonpers. comm. Aengus Stewart
SPAC959.05cafterI:complement(join(3396585..3398227,3398283..3398538))extended N-terminal to first methioninepers. comm. Val Wood
SPAC959.05cbeforeI:complement(join(3396586..3398228,3398284..3398335))extended N-terminal to first methioninepers. comm. Val Wood
SPBC106.05ctim11afterII:complement(join(384427..384512,384603..384774,384880..384912))
SPBC106.05cbeforeII:complement(join(384427..384512,384603..384732))
SPBC15D4.02afterII:3015118..3016377trimmed N terminal 28.10.03; looked overextended as large low complexity region in front in zinc finger which is usually N-term; alignment looks betterpers. comm. Val Wood
SPBC15D4.02beforeII:3014734..3016377trimmed N terminal 28.10.03; looked overextended as large low complexity region in front in zinc finger which is usually N-term; alignment looks betterpers. comm. Val Wood
SPBC16D10.07cafterII:complement(join(3611446..3612074,3612139..3612575,3612661..3612692,3612823..3612905,3612947..3613009,3613173..3613356))
SPBC16D10.07cbeforeII:complement(join(3611446..3612074,3612139..3612575,3612661..3612692,3612823..3612905,3612947..3613024,3613173..3613329))
SPBC25H2.10cafterII:join(3268815..3268886,3268994..3269104,3269155..3269311,3269397..3269602,3269652..3269795,3269848..3270021)
SPBC25H2.10cbeforeII:join(3268902..3268932,3268989..3269104,3269155..3269311,3269397..3269602,3269652..3269795,3269848..3270021)
SPBC30B4.01cafterII:complement(1300391..1301515)
SPBC30B4.01cbeforeII:complement(1300391..1301425)
SPBC428.01cafterII:complement(join(440174..442087,442129..442237,442292..442384,442441..442567,442618..442651,442693..442740,442816..442875))
SPBC428.01cbeforeII:complement(join(440174..442087,442129..442237,442292..442384,442441..442567,442618..442651,442693..442732,442816..442841))
SPCC1235.15afterIII:join(215424..215600,215850..216078,216187..216498,216591..216910)
SPCC1235.15beforeIII:join(215424..215600,215850..216078,216187..216509,216590..216910)
SPCC622.17afterIII:join(1436449..1436750,1436823..1437549)
SPCC622.17beforeIII:1436449..1437549
SPCC777.02afterIII:join(1599881..1599954,1600167..1600191,1600274..1602073)
SPCC777.02beforeIII:join(1599881..1599889,1600274..1602073)
SPAC1093.03afterI:join(4609278..4609337,4609374..4609732,4609803..4610029,4610089..4610605,4610647..4611982)
SPAC1093.03beforeI:4659816..4662520
SPAC11E3.03afterI:join(5281940..5282213,5282257..5282472,5282528..5282706)N terminal truncated, removed exon 9067..9103, truncated from 9149 to 9211 startPMID:12689592
SPAC11E3.03beforeI:join(5332334..5332370,5332416..5332751,5332795..5333010,5333066..5333244)N terminal truncated, removed exon 9067..9103, truncated from 9149 to 9211 startPMID:12689592
SPAC16A10.04afterI:join(3087939..3087957,3088028..3088069,3088131..3088177,3088285..3088488,3088605..3088739,3088796..3088945)N-terminal exon replacedPMID:12653963
SPAC16A10.04beforeI:join(3138406..3138445,3138566..3138607,3138669..3138715,3138823..3139026,3139143..3139277,3139334..3139483)N-terminal exon replacedPMID:12653963
SPAC186.04cafterI:complement(5534225..5534668)
SPAC186.04cbeforeI:complement(5584763..5585290)
SPAC1952.04cafterI:complement(join(4967785..4967876,4968004..4968020,4968081..4968313,4968503..4968637))
SPAC1952.04cbeforeI:complement(join(5018323..5018414,5018542..5018558,5018619..5018929))
SPAC19B12.06cafterI:complement(join(4889750..4890056,4890100..4890165,4890271..4890487,4890538..4890724))added exon 18153..18218pers. comm. Val Wood
SPAC19B12.06cbeforeI:complement(join(4940288..4940594,4940809..4941025,4941076..4941262))added exon 18153..18218pers. comm. Val Wood
SPAC212.05cafterI:20824..21015
SPAC212.05cbeforeI:complement(5634971..5635159)
SPAC22F3.03cafterI:join(704689..704867,704915..705013,705105..705180,705222..705436,705473..705663,705716..705789,705825..705956,705995..706058,706095..706193,706233..706390,706429..706501,706537..707152,707192..707261,707304..707552,707588..707728)4th exon extended by altering acceptor in intron 3 cosmid coordinates 34092-33923pers. comm. Mike Catlett
SPAC22F3.03cbeforeI:join(755227..755405,755453..755551,755643..755718,755889..755974,756011..756201,756254..756327,756363..756494,756533..756596,756633..756731,756771..756928,756967..757039,757075..757690,757730..757799,757842..758090,758126..758266)4th exon extended by altering acceptor in intron 3 cosmid coordinates 34092-33923pers. comm. Mike Catlett
SPAC23C4.08afterI:join(1042435..1042498,1042573..1042645,1042970..1043450)N-terminal exon removedPMID:12653963
SPAC23C4.08beforeI:join(1092825..1092841,1092981..1093036,1093111..1093183,1093508..1093988)N-terminal exon removedPMID:12653963
SPAC29A4.14cafterI:join(5115324..5115481,5115538..5115984,5116092..5116527)N-terminal extendedpers. comm. Val Wood
SPAC29A4.14cbeforeI:join(5166209..5166522,5166630..5167065)N-terminal extendedpers. comm. Val Wood
SPAC2E12.05wtf1afterI:5059956..5061882
SPAC2E12.05beforeI:5110970..5112025
SPAC31G5.07afterI:2998354..2999058N terminal extended to use longest ORF in the absence of homologypers. comm. Henar Valdivieso Montero
SPAC31G5.07beforeI:3049060..3049596N terminal extended to use longest ORF in the absence of homologypers. comm. Henar Valdivieso Montero
SPBC1347.05cafterII:complement(join(4071085..4071134,4071190..4072166,4072222..4072340))new C-terminal exonpers. comm. Val Wood
SPBC1347.05cbeforeII:complement(join(3989924..3990965,3991021..3991139))new C-terminal exonpers. comm. Val Wood
SPBC19G7.18cafterII:complement(join(2373872..2374411,2374458..2374528,2374577..2374724))
SPBC19G7.18cbeforeII:complement(2292671..2293099)
SPBC530.06cafterII:complement(join(800042..801738,801740..803551,803739..803751))
SPBC530.06cbeforeII:complement(join(718841..720537,720536..722350,722538..722550))
SPBC577.05cafterII:complement(join(758466..758646,758696..758851,759030..759097))
SPBC577.05cbeforeII:complement(join(677271..677445,677495..677650,677829..677896))
SPBC6B1.09cafterII:complement(join(2650545..2650808,2650855..2652023,2652066..2652145,2652185..2652333,2652438..2652526,2652565..2652618,2652678..2652714))additional intron 25664..25705, and exon extension 25974..25988pers. comm. Charly Chahwan
SPBC6B1.09cbeforeII:complement(join(2569344..2569607,2569654..2570944,2570984..2571147,2571237..2571325,2571364..2571417,2571477..2571513))additional intron 25664..25705, and exon extension 25974..25988pers. comm. Charly Chahwan
SPBP23A10.04afterII:join(2002935..2004170,2004215..2004834,2004880..2005069)coordinates updated additional in-frame splice at 5325, 5371pers. comm. Hyun-Joo Yoon
SPBP23A10.04beforeII:join(1921734..1922969,1923014..1923868)coordinates updated additional in-frame splice at 5325, 5371pers. comm. Hyun-Joo Yoon
SPCC320.13cafterIII:141662..142729trimmed to 2nd MetPMID:12676091
SPCC320.13cbeforeIII:141575..142729trimmed to 2nd MetPMID:12676091
SPAC1296.04afterI:join(766918..766973,767021..767159,767432..767584,767661..768059)has 2 additional N-terminal exonspers. comm. Val Wood
SPAC1296.04beforeI:join(745694..745822,745899..746297)has 2 additional N-terminal exonspers. comm. Val Wood
SPAC23C11.10afterI:join(2202062..2202182,2202222..2202320,2202368..2202566,2202618..2202780,2202824..2203039)found 3 additional C-terminal exons by eyepers. comm. Val Wood
SPAC23C11.10beforeI:join(2180300..2180420,2180460..2180581)found 3 additional C-terminal exons by eyepers. comm. Val Wood
SPAC2F3.13cafterI:complement(join(3995247..3996111,3996187..3996368))annotated as SPAC2F3.13c putative tRNA-ribosyltransferase, but actually a gene merge. Split to create SPAC2F3.13c the tRNA-ribosyltransferase and new CDS SPAC2F3.17c was created from the C-terminalpers. comm. Val Wood
SPAC2F3.13cafterI:complement(join(3995247..3996111,3996187..3996368))split to create SPAC2F3.13c and SPAC2F3.12cpers. comm. Val Wood
SPAC2F3.13cbeforeI:complement(join(3972358..3972669,3972711..3972786,3972835..3972921,3972966..3973118,3973163..3973474,3973522..3974349,3974425..3974606))annotated as SPAC2F3.13c putative tRNA-ribosyltransferase, but actually a gene merge. Split to create SPAC2F3.13c the tRNA-ribosyltransferase and new CDS SPAC2F3.17c was created from the C-terminalpers. comm. Val Wood
SPAC2F3.13cbeforeI:complement(join(3972358..3972669,3972711..3972786,3972835..3972921,3972966..3973118,3973163..3973474,3973522..3974349,3974425..3974606))split to create SPAC2F3.13c and SPAC2F3.12cpers. comm. Val Wood
SPAC2F3.17cafterI:complement(join(3994120..3994431,3994473..3994548,3994597..3994683,3994728..3994880,3994925..3995136))
SPAC2F3.17cbeforeI:complement(3966826..3967158)
SPAPYUG7.06afterI:4800372..4800977
SPAPYUG7.06beforeI:4779741..4780316
SPBPB21E7.01cafterI:complement(58324..59646)
SPBPB21E7.01cbeforeI:complement(58324..58439)
SPBC1604.17cafterII:join(3820646..3820720,3820765..3821745,3821818..3822141)pers. comm. Val Wood
SPBC1604.17cbeforeII:join(3820235..3820261,3820765..3821745,3821818..3822141)pers. comm. Val Wood
SPBC6B1.09cafterII:complement(join(2569344..2569607,2569654..2570944,2570984..2571147,2571237..2571325,2571364..2571417,2571477..2571513))prediction extended by 4 N- terminal exons, this identified FHA domainpers. comm. Val Wood
SPBC6B1.09cbeforeII:complement(join(2569344..2569607,2569654..2570901))prediction extended by 4 N- terminal exons, this identified FHA domainpers. comm. Val Wood
SPCC1442.13cafterIII:complement(join(1792096..1792185,1792276..1792809))C terminal exon added; new exon extends G-patch domainpers. comm. Val Wood
SPCC1442.13cbeforeIII:complement(1792246..1792809)C terminal exon added; new exon extends G-patch domainpers. comm. Val Wood
SPCC622.21afterIII:join(1402430..1402568,1402800..1403072,1403390..1403451,1403453..1403572)
SPCC622.21beforeIII:join(1402430..1402568,1402800..1403072,1403191..1403315,1403392..1403451,1403453..1403569)
SPCC777.02afterIII:join(1599881..1599889,1600274..1602073)
SPCC777.02beforeIII:1600406..1602073
SPAC1006.05cafterI:complement(5104714..5105904)
SPAC1006.05cbeforeI:complement(5071493..5072593)
SPAC1610.03cafterI:complement(join(1822269..1823627,1823699..1824173,1824265..1824442,1824528..1824648))
SPAC1610.03cbeforeI:complement(join(1803017..1804375,1804447..1804972,1805013..1805190,1805276..1805396))
SPAC1D4.11cafterI:complement(686436..688163)
SPAC1D4.11cbeforeI:complement(667184..669256)
SPAPB15E9.01cafterI:complement(4011667..4014777)
SPAPB15E9.01cbeforeI:complement(3980427..3982657)
SPAPB17E12.14cafterI:complement(1316592..1318016)
SPAPB17E12.14cbeforeI:complement(1297340..1298953)
SPBC1348.14cafterI:complement(38587..39186)
SPBC1348.14cafterI:complement(38587..40143)
SPBC1348.14cbeforeI:complement(38587..39187)

RNA genes

DateSystematic idPrimary nameBefore / after changeCoordinatesCommentReference
SPNCRNA.105afterII:4071111..4071312
SPNCRNA.105beforeII:4071111..4071304
SPNCRNA.1597afterII:3391413..3393613
SPNCRNA.1597beforeII:3390915..3393891
SPNCRNA.1674afterII:4129796..4130288EMBL:AU011806
SPNCRNA.1674beforeII:4129574..4130925
SPNCRNA.5748prl102afterII:2626082..2626661PMID:28031482,PMID:29914874
SPNCRNA.5748beforeII:2625945..2626738PMID:29914874
SPNCRNA.1502afterII:2319366..2319746
SPNCRNA.1502beforeII:2319348..2319746
SPNCRNA.848afterI:2738681..2740459PMID:18488015
SPNCRNA.848beforeI:2738026..2740228
SPNCRNA.865afterI:2957775..2959658PMID:18488015
SPNCRNA.865beforeI:2956805..2959658
SPNCRNA.893afterI:3177931..3178309
SPNCRNA.893beforeI:3177931..3179269
SPNCRNA.985afterI:4400686..4401605PMID:18488015
SPNCRNA.985beforeI:4400708..4401528
SPSNORNA.42snR90afterI:complement(join(4936907..4937013,4937200..4937394))
SPSNORNA.42snR90beforeI:complement(4937170..4937394)
SPNCRNA.159afterI:776184..777243PMID:21511999
SPNCRNA.159beforeI:776272..777066
SPNCRNA.159beforeI:join(776272..776539,776589..776758,776829..777066)
SPSNRNA.06snu6afterI:complement(join(2562276..2562323,2562374..2562419))Jennifer Porat flagged itPMID:2909894
SPSNRNA.06snu6beforeI:complement(join(2562276..2562323,2562374..2562427))Jennifer Porat flagged itPMID:2909894
SPSNRNA.04snu4afterII:complement(467489..467615)Jennifer Porat flagged itPMID:2795654
SPSNRNA.04snu4beforeII:complement(467233..467361)Jennifer Porat flagged itPMID:2795654
SPNCRNA.214ter1afterI:complement(join(3084610..3084759,3084816..3086022))PMID:19052544
SPNCRNA.214ter1beforeI:complement(3084610..3086022)
SPRPTCENB.11cnt2.1afterII:1620807..1627609
SPRPTCENB.11cnt2.1beforeII:1620807..1624737
SPRRNA.01rnlaftermitochondrial:1..2827PMID:29954949
SPRRNA.01rnlbeforemitochondrial:1..2823
SPRRNA.02rnsaftermitochondrial:3133..4553PMID:29954949
SPRRNA.02rnsbeforemitochondrial:3132..4552
SPMITTRNAARG.01aftermitochondrial:9819..9890
SPMITTRNAARG.01beforemitochondrial:9818..9894
SPMITTRNAGLU.01aftermitochondrial:18406..18478
SPMITTRNAGLU.01beforemitochondrial:18404..18475
SPRRNA.01rnlaftermitochondrial:1..2823
SPRRNA.01rnlbeforemitochondrial:1..2822
SPRRNA.02rnsaftermitochondrial:3132..4552
SPRRNA.02rnsbeforemitochondrial:3131..4552
SPATRNAALA.06afterI:join(4796977..4797012,4797024..4797059)
SPATRNAALA.06beforeI:4796977..4797059
SPATRNAARG.01afterI:join(3443055..3443090,3443109..3443144)
SPATRNAARG.01beforeI:3443055..3443144
SPATRNAILE.02afterI:join(2578426..2578463,2578489..2578524)
SPATRNAILE.02beforeI:2578426..2578524
SPATRNALEU.01afterI:complement(join(1527088..1527133,1527144..1527181))
SPATRNALEU.01beforeI:complement(1527088..1527181)
SPATRNALEU.02afterI:complement(join(2802761..2802804,2802821..2802858))
SPATRNALEU.02beforeI:complement(2802761..2802858)
SPATRNALEU.03afterI:join(3591948..3591984,3592003..3592044)
SPATRNALEU.03beforeI:3591948..3592044
SPATRNALYS.01afterI:join(1704582..1704620,1704629..1704664)
SPATRNALYS.01beforeI:1704582..1704664
SPATRNALYS.05afterI:join(3086310..3086348,3086357..3086392)
SPATRNALYS.05beforeI:3086310..3086392
SPATRNAMET.02afterI:complement(join(1484979..1485014,1485024..1485061))
SPATRNAMET.02beforeI:complement(1484979..1485061)
SPATRNAPRO.02spl1afterI:complement(join(1314924..1314959,1314984..1315020))
SPATRNAPRO.02spl1beforeI:complement(1314924..1315020)
SPATRNASER.01afterI:join(1096369..1096405,1096422..1096466)
SPATRNASER.01beforeI:1096369..1096466
SPATRNATYR.01afterI:join(1746464..1746501,1746512..1746547)
SPATRNATYR.01beforeI:1746464..1746547
SPATRNAVAL.03afterI:complement(join(2214733..2214768,2214777..2214814))
SPATRNAVAL.03beforeI:complement(2214733..2214814)
SPATRNAVAL.04afterI:complement(join(3710739..3710774,3710784..3710821))
SPATRNAVAL.04beforeI:complement(3710739..3710821)
SPBTRNAMET.04afterII:join(658451..658488,658496..658531)
SPBTRNAMET.04beforeII:658451..658531
SPBTRNAVAL.06afterII:complement(join(1619174..1619209,1619219..1619256))
SPBTRNAVAL.06beforeII:complement(1619174..1619256)
SPCTRNALYS.10afterIII:join(1071093..1071131,1071140..1071175)
SPCTRNALYS.10beforeIII:1071093..1071175
SPCTRNASER.11sup9afterIII:join(1689713..1689749,1689765..1689809)
SPCTRNASER.11sup9beforeIII:1689713..1689809
SPNCRNA.103sme2afterII:complement(339346..340907)PMID:24920274
SPNCRNA.103sme2beforeII:complement(339346..340012)PMID:24920274
SPBC8E4.02cprt2afterII:4442542..4445970
SPBC8E4.02cprt2beforeII:4443155..4443544
SPNCRNA.1702prl104afterI:complement(5533986..5534754)
SPNCRNA.1702prl104beforeI:5533986..5534754
SPNCRNA.1706prl106afterIII:complement(935629..936790)
SPNCRNA.1706prl106beforeIII:935629..936790
SPNCRNA.1702prl104afterI:5533986..5534754
SPNCRNA.1702prl104beforeI:5533986..5534794
SPSNORNA.41snR46afterIII:complement(1717920..1718087)Switched from + strand to - strandpers. comm. Francois Bachand
SPSNORNA.41snR46beforeIII:1717920..1718087Switched from + strand to - strandpers. comm. Francois Bachand
SPNCRNA.287afterII:complement(21060..21754)PMID:21511999
SPNCRNA.287beforeII:21025..21701
SPNCRNA.291afterII:complement(103165..104528)PMID:21511999
SPNCRNA.291beforeII:103208..104381
SPNCRNA.293afterII:120577..121643PMID:21511999
SPNCRNA.293beforeII:120652..121497
SPNCRNA.316afterII:complement(591798..592612)PMID:21511999
SPNCRNA.316beforeII:591646..592613
SPATRNASER.03afterI:join(4265149..4265185,4265201..4265245)
SPATRNASER.03beforeI:4265149..4265245
SPSNORNA.25snoZ30afterII:2044411..2044505
SPSNORNA.25snoZ30beforeII:2044273..2044572
SPSNRNA.02snu2afterI:complement(959370..959556)
SPSNRNA.02snu2beforeI:complement(959370..959586)
SPSNRNA.02snu2afterI:complement(959370..959586)represents the actual functional RNAPMID:3244367,PMID:3244367
SPSNRNA.02snu2beforeI:complement(959305..959770)represents the actual functional RNAPMID:3244367
SPSNRNA.03snu3afterI:complement(987570..987825)represents the actual functional RNAPMID:3194197,PMID:3194197
SPSNRNA.03snu3beforeI:complement(987631..988266)represents the actual functional RNAPMID:3194197
SPSNRNA.06snu6afterI:complement(join(2562276..2562323,2562374..2562427))represents the actual functional RNAPMID:2909894,PMID:2909894
SPSNRNA.06snu6beforeI:complement(join(2562085..2562323,2562374..2562559))represents the actual functional RNAPMID:2909894
SPSNRNA.01snu1afterII:3020205..3020353represents the actual functional RNAPMID:2188102,PMID:2188102
SPSNRNA.01snu1beforeII:3019819..3020472represents the actual functional RNAPMID:2188102
SPSNRNA.04snu4afterII:complement(467233..467361)represents the actual functional RNAPMID:2795654,PMID:2795654
SPSNRNA.04snu4beforeII:complement(467025..467823)represents the actual functional RNAPMID:2795654
SPSNRNA.05snu5afterII:3236867..3236986represents the actual functional RNAPMID:2587274,PMID:2587274
SPSNRNA.05snu5beforeII:3236617..3237051represents the actual functional RNAPMID:2587274
SPSNRNA.07snu32afterII:complement(3958832..3959086)represents the actual functional RNAPMID:1560765,PMID:1560765
SPSNRNA.07snu32beforeII:complement(3958768..3959174)represents the actual functional RNAPMID:1560765
SPNCRNA.98srp7afterI:4268662..4268916represents the actual functional RNAPMID:2837764, PMID:16453822,PMID:16453822,PMID:2837764
SPNCRNA.98srp7beforeI:4268566..4269064represents the actual functional RNAPMID:2837764, PMID:16453822
SPNCRNA.84afterI:complement(3753160..3753692)
SPNCRNA.84beforeI:complement(3753160..3753489)
SPNCRNA.95afterI:3789400..3789948EMBL:AU010014,EMBL:FY093953
SPNCRNA.95beforeI:3789400..3789821EMBL:SPC0079
SPNCRNA.95afterI:3789400..3789821
SPNCRNA.95beforeI:3789585..3789948
SPNCRNA.1572afterII:3008602..3011490
SPNCRNA.1572beforeII:3008602..3011536
SPNCRNA.304afterII:complement(360439..363023)PMID:21511999
SPNCRNA.304beforeII:complement(360425..362854)
SPNCRNA.322afterII:674049..676227PMID:21511999
SPNCRNA.322beforeII:674078..676143
SPNCRNA.438afterII:complement(4194849..4196046)PMID:21511999
SPNCRNA.438beforeII:complement(4194849..4196008)
SPBTRNASER.06afterII:join(3350594..3350634,3350644..3350688)
SPBTRNASER.06beforeII:3350594..3350688
SPNCRNA.511afterIII:2011026..2012559PMID:21511999
SPNCRNA.511beforeIII:2011061..2012433
SPNCRNA.519afterIII:2362179..2362725PMID:21511999
SPNCRNA.519beforeIII:2362248..2362743
SPNCRNA.67prl67afterIII:1431135..1433068PMID:21511999
SPNCRNA.67prl67beforeIII:1432003..1432625
SPNCRNA.388afterII:2115592..2117167PMID:21511999
SPNCRNA.388beforeII:2115667..2117167
SPBTRNAARG.05afterII:complement(join(1160893..1160928,1160959..1160994))
SPBTRNAARG.05beforeII:complement(1160893..1160994)
SPBTRNALEU.05afterII:complement(join(1402444..1402487,1402504..1402541))
SPBTRNALEU.05beforeII:complement(1402444..1402541)
SPBTRNALEU.06afterII:complement(join(1598745..1598788,1598808..1598845))
SPBTRNALEU.06beforeII:complement(1598745..1598845)
SPBTRNALEU.07afterII:complement(join(1644083..1644126,1644146..1644183))
SPBTRNALEU.07beforeII:complement(1644083..1644183)
SPBTRNALYS.07afterII:join(1599706..1599744,1599752..1599788)
SPBTRNALYS.07beforeII:1599706..1599788
SPBTRNALYS.08afterII:join(1645044..1645082,1645091..1645126)
SPBTRNALYS.08beforeII:1645044..1645126
SPBTRNALYS.09afterII:join(3814134..3814172,3814181..3814216)
SPBTRNALYS.09beforeII:3814134..3814216
SPBTRNAMET.05afterII:complement(join(1598075..1598110,1598118..1598155))
SPBTRNAMET.05beforeII:complement(1598075..1598155)
SPBTRNATYR.02afterII:join(1598511..1598548,1598559..1598594)
SPBTRNATYR.02beforeII:1598511..1598594
SPBTRNATYR.03afterII:join(1643849..1643886,1643897..1643932)
SPBTRNATYR.03beforeII:1643849..1643932
SPBTRNATYR.04afterII:join(3814558..3814595,3814606..3814641)
SPBTRNATYR.04beforeII:3814558..3814641
SPBTRNAVAL.05afterII:complement(join(1600967..1601002,1601012..1601049))
SPBTRNAVAL.05beforeII:complement(1600967..1601049)
SPBTRNAVAL.07afterII:join(1629159..1629196,1629206..1629241)
SPBTRNAVAL.07beforeII:1629159..1629241
SPBTRNAVAL.08afterII:complement(join(1646305..1646340,1646350..1646387))
SPBTRNAVAL.08beforeII:complement(1646305..1646387)
SPNCRNA.111afterII:complement(3978331..3982106)PMID:21511999
SPNCRNA.111beforeII:complement(3978616..3980728)
SPCTRNALEU.12afterIII:complement(join(1096085..1096128,1096148..1096185))
SPCTRNALEU.12beforeIII:complement(1096085..1096185)
SPCTRNALEU.13afterIII:join(1102809..1102846,1102866..1102909)
SPCTRNALEU.13beforeIII:1102809..1102909
SPCTRNALYS.11afterIII:complement(join(1139536..1139571,1139580..1139618))
SPCTRNALYS.11beforeIII:complement(1139536..1139618)
SPCTRNALYS.12afterIII:join(1475034..1475072,1475081..1475116)
SPCTRNALYS.12beforeIII:1475034..1475116
SPCTRNASER.10afterIII:join(1253193..1253231,1253243..1253287)
SPCTRNASER.10beforeIII:1253193..1253287
SPCTRNASER.13afterIII:join(2072080..2072118,2072130..2072174)
SPCTRNASER.13beforeIII:2072080..2072174
SPCTRNAVAL.09afterIII:join(1092934..1092971,1092981..1093016)
SPCTRNAVAL.09beforeIII:1092934..1093016
SPCTRNAVAL.10afterIII:complement(join(1105978..1106013,1106023..1106060))
SPCTRNAVAL.10beforeIII:complement(1105978..1106060)
SPCTRNAVAL.12afterIII:complement(join(1065778..1065813,1065823..1065860))
SPCTRNAVAL.12beforeIII:complement(1065778..1065860)
SPBTRNAASP.03afterII:1602188..1602260
SPBTRNAASP.03beforeII:complement(1602347..1602417)
SPNCRNA.304afterII:complement(360425..362854)
SPNCRNA.304beforeII:360425..362854
SPSNORNA.29sno52afterI:complement(339548..339642)
SPSNORNA.29sno52beforeI:339548..339642
SPSNORNA.42snR90afterI:complement(4937170..4937394)
SPSNORNA.42snR90beforeI:complement(4937237..4937394)
SPNCRNA.585afterIII:complement(2010261..2010800)
SPNCRNA.585beforeIII:complement(2010261..2010574)
SPNCRNA.53prl53afterI:complement(4008054..4009905)EMBL:AB084861,EMBL:AB084875
SPNCRNA.53prl53beforeI:4008172..4008681
SPNCRNA.223afterI:complement(3534486..3536133)
SPNCRNA.223beforeI:3534486..3536133
SPNCRNA.31prl31afterI:2975608..2976007
SPNCRNA.31prl31beforeI:complement(2975608..2976007)
SPNCRNA.445snoR61afterII:complement(join(3874254..3874461,3874798..3874906))updated to extend 3’ and added splice and identified as snR6pers. comm. J. Matthews
SPNCRNA.445beforeII:complement(3874378..3874906)updated to extend 3’ and added splice and identified as snR6pers. comm. J. Matthews
SPNCRNA.25prl25afterII:complement(2567830..2568256)
SPNCRNA.25prl25beforeII:2567830..2568256
SPNCRNA.92afterI:3875656..3876105
SPNCRNA.92beforeI:complement(3875656..3876105)
SPNCRNA.82mrp1afterI:1234451..1234849upon realisation that this corresponded to RNase MRPpers. comm. Val Wood,EMBL:EF424786,EMBL:SPC10292
SPNCRNA.82beforeI:1234705..1234837upon realisation that this corresponded to RNase MRPpers. comm. Val Wood
SPRRNA.31afterII:784153..784398
SPRRNA.31beforeII:784199..784398
SPRRNA.31afterII:784199..784398
SPRRNA.31beforeII:784153..784398
SPRRNA.31afterII:784153..784398
SPRRNA.31beforeII:784199..784398
SPNCRNA.82afterI:1235605..1235737
SPNCRNA.82mrp1beforeI:1234451..1234849EMBL:EF424786,EMBL:SPC10292
SPRRNA.31afterII:784199..784398
SPRRNA.31beforeII:783253..783498
SPNCRNA.82mrp1afterI:1234451..1234849EMBL:EF424786,EMBL:SPC10292
SPNCRNA.82beforeI:1235605..1235737
SPRRNA.31afterII:783253..783498
SPRRNA.31beforeII:784199..784398
SPATRNALYS.04afterI:complement(join(2685583..2685618,2685627..2685665))
SPATRNALYS.04beforeI:complement(2685583..2685665)
SPSNRNA.06snu6afterI:complement(join(2562985..2563223,2563274..2563459))RFAM:RF00026
SPSNRNA.06snu6beforeI:complement(join(2562985..2563222,2563274..2563459))RFAM:00026
SPNCRNA.131tos2afterIII:1549249..1549797
SPNCRNA.131tos2beforeIII:1547624..1548172
SPNCRNA.132tos3afterIII:1547677..1548889
SPNCRNA.132tos3beforeIII:1548532..1549744
SPNCRNA.69tos1afterIII:1548828..1550437
SPNCRNA.69tos1beforeIII:1546984..1548593
SPNCRNA.86afterI:complement(1358711..1359192)EMBL:AU010322
SPNCRNA.86beforeI:complement(join(1358711..1359192,1358711..1359192))
SPSNRNA.06snu6afterI:complement(join(2562985..2563222,2563274..2563459))EMBL:X14196,RFAM:00026
SPSNRNA.06U6snRNAbeforeI:complement(2562985..2563459)
SPNCRNA.03prl3afterI:complement(237974..238748)
SPNCRNA.03beforeI:complement(237974..238580)
SPBTRNALEU.09afterII:complement(3210939..3211017)
SPBTRNALEU.09beforeII:complement(2688856..2688934)
SPBTRNALEU.10afterII:3915843..3915921
SPBTRNALEU.10beforeII:complement(3129738..3129816)
SPBTRNALYS.08afterII:1646844..1646926
SPBTRNALYS.08beforeII:3734733..3734815
SPCTRNALEU.12afterIII:complement(1096985..1097085)
SPCTRNALEU.12beforeIII:1069166..1069244
SPCTRNASER.09afterIII:1066628..1066709
SPCTRNASER.09beforeIII:1690613..1690709
SPCTRNASER.10afterIII:1254093..1254187
SPCTRNASER.10beforeIII:complement(1776892..1776973)
SPCTRNASER.11afterIII:1690613..1690709
SPCTRNASER.11beforeIII:2072980..2073074
SPBTRNAPRO.07afterII:2860314..2860385
SPBTRNAPRO.07afterII:complement(3281118..3281189)
SPCTRNAGLY.10afterIII:2038252..2038322
SPCTRNAGLY.10afterIII:complement(113716..113786)

Gene coordinate changes

Protein coding genes

DateSystematic idPrimary nameBefore / after changeCoordinatesCommentReference
SPAC1F8.07cpdc101afterI:complement(join(101836..101872,101872..103544))
SPAC1F8.07cpdc101beforeI:complement(join(101836..101869,101872..103544))
SPBC17D1.06dbp3afterII:3338751..3340340
SPBC17D1.06dbp3beforeII:3338604..3340340
SPAC227.11cyos9afterI:complement(join(514552..515082,515222..515482,515534..515608))
SPAC227.11cyos9beforeI:complement(join(514552..515082,515222..515482))
SPBC1E8.04Tf2-10afterII:join(1965390..1967475,1967478..1969390)
SPBC1E8.04Tf2-10beforeII:join(1965390..1967475,1967478..1969387)
SPBP16F5.03ctra1afterII:complement(1894433..1905418)
SPBP16F5.03ctra1beforeII:complement(1894433..1905532)
SPAC9G1.07afterI:join(1983182..1984207,1984253..1984438)
SPAC9G1.07beforeI:1983182..1984438
SPBC3B8.10ina17afterII:join(3390968..3391069,3391178..3391304,3391351..3391382)
SPBC3B8.10ina17beforeII:join(3390968..3391069,3391178..3391413)
SPBP4H10.12afterII:join(2895800..2895823,2896001..2896459,2896516..2896587)
SPBP4H10.12beforeII:join(2895855..2895863,2896001..2896459,2896516..2896587)
SPAPB1E7.05gde1afterI:join(3293630..3293646,3293951..3297341)
SPAPB1E7.05gde1beforeI:3294111..3297341
SPAC22A12.08c.1crd1afterI:complement(join(1169936..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1beforeI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPBC16E9.16clsd90afterII:complement(join(1947985..1948955,1948954..1950048,1950048..1950255))
SPBC16E9.16clsd90beforeII:complement(join(1947985..1948952,1948954..1950048,1950048..1950255))
SPBC32F12.08cduo1afterII:complement(join(2797658..2798040,2798042..2798507))
SPBC32F12.08cduo1beforeII:complement(join(2797652..2798040,2798042..2798507))
SPCC417.03afterIII:join(1672003..1672051,1672243..1672364)
SPCC417.03beforeIII:join(1672003..1672051,1672243..1672332)
SPBC32H8.08comh5afterII:complement(join(1465811..1466035,1466138..1467057,1467311..1467317))
SPBC32H8.08comh5beforeII:complement(join(1465811..1466035,1466138..1467057,1467311..1467431))
SPAC23E2.02lsd2afterI:join(446770..449241,449295..450530)
SPAC23E2.02lsd2beforeI:join(446491..446513,446679..449241,449295..450530)
SPAC343.16lys2afterI:1675823..1677895
SPAC343.16lys2beforeI:1675730..1677895
SPBC16H5.11cskb1afterII:join(2277275..2277464,2277514..2279012,2279059..2279247)
SPBC16H5.11cskb1beforeII:join(2277215..2277464,2277514..2279012,2279059..2279247)
SPBC13A2.02nup82afterII:3400618..3403014
SPBC13A2.02nup82beforeII:3400603..3403014
SPBC13G1.14crns1afterII:complement(join(3727332..3727657,3727705..3727810,3727877..3728068))
SPBC13G1.14crns1beforeII:complement(join(3727332..3727657,3727705..3727810,3727877..3728176))
SPBC16A3.01spn3afterII:complement(join(4299042..4299794,4299858..4300036,4300263..4300452))
SPBC16A3.01spn3beforeII:complement(join(4299042..4299794,4299858..4300036,4300263..4300569))
SPBC25D12.05trm1afterII:3723455..3725029
SPBC25D12.05trm1beforeII:3723383..3725029
SPBC31F10.17cafterII:complement(join(3788317..3788649,3788725..3788775))
SPBC31F10.17cbeforeII:complement(join(3788317..3788649,3788725..3788799))
SPBC887.07mrpl38afterII:join(3551348..3551389,3551433..3551490,3551554..3551834)
SPBC887.07mrpl38beforeII:join(3551318..3551389,3551433..3551490,3551554..3551834)
SPBP8B7.05cnce103afterII:complement(3641216..3641950)
SPBP8B7.05cnce103beforeII:complement(3641216..3642202)
SPCC1259.12cgid1afterIII:complement(join(1056598..1056737,1056787..1057191,1057239..1057880,1057925..1058189))
SPCC1259.12cgid1beforeIII:complement(join(1056598..1056737,1056787..1057191,1057239..1057880,1057925..1058213))
SPCC126.15csec65afterIII:complement(join(2142679..2143055,2143109..2143331))
SPCC126.15csec65beforeIII:complement(join(2142679..2143055,2143109..2143373))
SPCC1620.10cwf26afterIII:join(2163220..2164118,2164159..2164165)
SPCC1620.10cwf26beforeIII:join(2163205..2164118,2164159..2164165)
SPCC1682.01qcr9afterIII:join(371284..371286,371353..371438,371498..371546,371612..371677)
SPCC1682.01qcr9beforeIII:join(371230..371286,371353..371438,371498..371546,371612..371677)
SPCC1682.05csrp68afterIII:complement(join(379065..379652,379728..380604,380660..380823))
SPCC1682.05csrp68beforeIII:complement(join(379065..379652,379728..380604,380660..380922,380969..381034))
SPCC569.03afterIII:complement(join(2430334..2430776,2430840..2431347))
SPCC569.03beforeIII:complement(join(2430334..2430776,2430840..2431524))
SPCC622.11lmb1afterIII:join(1417271..1417438,1417634..1418983)
SPCC622.11lmb1beforeIII:join(1417100..1417438,1417634..1418983)
SPCC825.04cnaa40afterIII:complement(1030256..1030828)
SPCC825.04cnaa40beforeIII:complement(1030256..1030870)
SPCP1E11.06apl4afterIII:2402067..2404577
SPCP1E11.06apl4beforeIII:2401980..2404577
SPBC14C8.01ccut2afterII:complement(2203316..2204206)
SPBC14C8.01ccut2beforeII:complement(2203316..2204221)
SPBC1703.06pof10afterII:join(2925563..2925620,2925675..2927554)
SPBC1703.06pof10beforeII:join(2925512..2925620,2925675..2927554)
SPBC1709.17met7afterII:join(1132227..1132253,1132300..1132431,1132741..1134042)
SPBC1709.17met7beforeII:join(1132170..1132253,1132300..1132431,1132741..1134042)
SPBC18E5.12cmas2afterII:complement(2096528..2098012)
SPBC18E5.12cmas2beforeII:complement(2096528..2098036)
SPBC19G7.04afterII:join(2349611..2349654,2349697..2350344,2350388..2350766)
SPBC19G7.04beforeII:join(2349593..2349654,2349697..2350344,2350388..2350766)
SPBC2A9.05ctvp23afterII:complement(join(2956469..2956904,2956966..2957132))
SPBC2A9.05ctvp23beforeII:complement(join(2956469..2956904,2956966..2957189))
SPBC30B4.08eri1afterII:join(1320740..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC30B4.08eri1beforeII:join(1320692..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC30D10.09chva22afterII:join(3083470..3083483,3083527..3083648,3083742..3084106)SPD:10/10A04
SPBC30D10.09cbeforeII:join(3083317..3083483,3083527..3083648,3083742..3084106)SPD:10/10A04
SPBC336.10ctif512afterII:complement(2758761..2759234)
SPBC336.10ctif512beforeII:complement(2758761..2759270)
SPBC337.16cho1afterII:join(1058422..1058951,1059007..1059067)
SPBC337.16cho1beforeII:join(1058347..1058951,1059007..1059067)
SPBC428.01cnup107afterII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..441975))
SPBC428.01cnup107beforeII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..442032))
SPBC428.18cdt1afterII:477431..478699
SPBC428.18cdt1beforeII:477365..478699
SPBC582.05cbrc1afterII:complement(join(426160..428547,428634..428771,428873..428896))
SPBC582.05cbrc1beforeII:complement(join(426160..428547,428634..428771,428903..429013))
SPBC582.07crpn7afterII:complement(430551..431744)
SPBC582.07crpn7beforeII:complement(430551..431780)
SPBC582.08alt1afterII:join(432595..433012,433204..434003,434057..434311)SPD:36/36B08
SPBC582.08beforeII:join(432550..433012,433204..434003,434057..434311)SPD:36/36B08
SPBC685.09orc2afterII:2782066..2783565
SPBC685.09orc2beforeII:2781958..2783565
SPBC8D2.10crmt3afterII:complement(join(1376341..1377734,1377814..1377909,1378224..1378266))
SPBC8D2.10crmt3beforeII:complement(join(1376341..1377734,1377814..1377909,1378224..1378365))
SPBC947.03cnaa38afterII:join(676761..676908,677057..677127)
SPBC947.03cnaa38beforeII:join(676629..676908,677057..677127)
SPAC1071.09cafterI:complement(3870660..3871427)
SPAC1071.09cbeforeI:complement(3870660..3871508)
SPAC17H9.04cdri1afterI:complement(2009905..2011695)remove MSKLPSPT
SPAC17H9.04cdri1beforeI:complement(2009905..2011719)remove MSKLPSPT
SPAC1952.03otu2afterI:join(4971189..4971548,4971595..4972137)
SPAC1952.03otu2beforeI:join(4971117..4971548,4971595..4972137)
SPAC1952.15crec24afterI:complement(join(4996030..4996763,4996904..4997171))
SPAC1952.15crec24beforeI:complement(join(4996030..4996763,4996904..4997222))
SPAC19A8.06pbr1afterI:complement(2475966..2477096)
SPAC19A8.06pbr1beforeI:complement(2475966..2477159)
SPAC1B2.03celo2afterI:complement(join(2811438..2812368,2812412..2812464))remove MDLTGAH to get /score=2039.31
SPAC1B2.03celo2beforeI:complement(join(2811438..2812368,2812412..2812485))remove MDLTGAH to get /score=2039.31
SPAC1B3.18cmrps18afterI:complement(4967223..4967756)
SPAC1B3.18cmrps18beforeI:complement(4967223..4967894)
SPAC1F12.09gpi17afterI:join(3818803..3818907,3818954..3819677,3819720..3820420)
SPAC1F12.09gpi17beforeI:join(3818668..3818907,3818954..3819677,3819720..3820420)
SPAC22F8.10csap145afterI:complement(4804630..4806387)
SPAC22F8.10csap145beforeI:complement(4804630..4806435)
SPAC23C11.17mdm28afterI:join(2167206..2167245,2167302..2168683)remove MKYPRTHIQFPS
SPAC23C11.17mdm28beforeI:join(2167170..2167245,2167302..2168683)remove MKYPRTHIQFPS
SPAC25B8.08afterI:4168263..4169984
SPAC25B8.08beforeI:4168212..4169984
SPAC26A3.09crga2afterI:complement(3348569..3352258)
SPAC26A3.09crga2beforeI:complement(3348569..3352396)
SPAC26F1.02pnn1afterI:complement(join(5181982..5182122,5182191..5182628))
SPAC26F1.02pnn1beforeI:complement(join(5181982..5182122,5182191..5182632,5182721..5182731))
SPAC26F1.14caif1afterI:5146273..5148000
SPAC26F1.14caif1beforeI:5146165..5148000
SPAC4G9.11ccmb1afterI:complement(2275578..2276177)
SPAC4G9.11ccmb1beforeI:complement(2275578..2276249)
SPAC4H3.06afterI:join(3837449..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.06beforeI:join(3837431..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC521.02wss1afterI:843296..844084
SPAC521.02wss1beforeI:843233..844084
SPAC589.02cmed13afterI:complement(join(3095075..3098590,3098626..3098667))truncated 40 AA
SPAC589.02cmed13beforeI:complement(join(3095075..3098590,3098626..3098781,3098878..3098883))truncated 40 AA
SPAC637.09rex1afterI:4555423..4557294
SPAC637.09rex1beforeI:4555399..4557294
SPAC688.09rim2afterI:join(3127689..3127813,3127862..3128780)
SPAC688.09rim2beforeI:join(3127647..3127813,3127862..3128780)
SPAP8A3.12ctpp2afterI:complement(5336815..5340471)
SPAP8A3.12ctpp2beforeI:complement(5336815..5340639)
SPAPB18E9.01trm5afterI:join(3974340..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975962,3976014..3976079)
SPAPB18E9.01trm5beforeI:join(3974310..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975962,3976014..3976079)
SPAC1002.01mrx11afterI:1798347..1798835remove final exon
SPAC1002.01mrx11beforeI:join(1798347..1798830,1798960..1799015)remove final exon
SPAC1002.12cafterI:complement(1818695..1820191)
SPAC1002.12cbeforeI:complement(1818695..1820338)
SPAC1002.17curg2afterI:complement(1831012..1831581)change MSTTTTVSAIRTVEE to MSNITISSHPV
SPAC1002.17curg2beforeI:complement(1831012..1831626)change MSTTTTVSAIRTVEE to MSNITISSHPV
SPAC1565.08cdc48afterI:join(1306457..1306512,1306569..1308942)
SPAC1565.08cdc48beforeI:join(1306439..1306512,1306569..1308942)
SPAC167.04pam17afterI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554791))
SPAC167.04pam17beforeI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554827))
SPAC17A5.02cdbr1afterI:complement(join(1754033..1754145,1754186..1754310,1754350..1755118,1755164..1755285,1755331..1755593))trim to MRVGVQGC
SPAC17A5.02cdbr1beforeI:complement(join(1754033..1754145,1754186..1754310,1754350..1755118,1755164..1755285,1755331..1755638))trim to MRVGVQGC
SPAC1A6.10tcd1afterI:1090729..1092135truncate at MAG (AA20)
SPAC1A6.10tcd1beforeI:1090678..1092135truncate at MAG (AA20)
SPAC227.11cyos9afterI:complement(join(514552..515082,515222..515482))
SPAC227.11cyos9beforeI:complement(join(514552..515082,515222..515482,515534..515674))
SPAC2F7.08csnf5afterI:complement(546664..548460)
SPAC2F7.08csnf5beforeI:complement(546664..548562)
SPAC30D11.03ddx27afterI:complement(join(1116057..1116202,1116247..1116367,1116415..1118292))trim to MET at AA41
SPAC30D11.03ddx27beforeI:complement(join(1116057..1116202,1116247..1116367,1116415..1118412))trim to MET at AA41
SPAC3H1.05ste24afterI:join(1938990..1939004,1939075..1940394)new start MGIL
SPAC3H1.05ste24beforeI:join(1938900..1939004,1939075..1940394)new start MGIL
SPAC3H1.12csnt2afterI:complement(1961710..1965063)
SPAC3H1.12csnt2beforeI:complement(1961710..1965105)
SPAC4G8.07ctrm2afterI:complement(join(774000..774023,774155..774403,774453..775290,775414..775513,775641..775863))
SPAC4G8.07ctrm2beforeI:complement(join(774000..774023,774155..774403,774453..775290,775414..775513,775641..776013))
SPAC56E4.04ccut6afterI:complement(join(1246095..1252807,1253430..1253460))trim to MET at AA34
SPAC56E4.04ccut6beforeI:complement(join(1246095..1252807,1253430..1253559))trim to MET at AA34
SPAC56F8.04cppt1afterI:complement(1133226..1134302)
SPAC56F8.04cppt1beforeI:complement(join(1133226..1134283,1134332..1134356))
SPAC57A7.12ssz1afterI:complement(join(1515089..1516663,1516789..1516866))
SPAC57A7.12ssz1beforeI:complement(join(1515089..1516663,1516789..1516914))
SPAC630.14ctup12afterI:complement(join(374683..375830,376094..376446,376844..376931,376993..377116))
SPAC630.14ctup12beforeI:complement(join(374683..375830,376094..376446,376844..376931,376993..377200))
SPAC4F10.02aap1afterI:join(4832911..4833160,4833257..4834428)PMID:34169534
SPAC4F10.02aap1beforeI:join(4832929..4833160,4833257..4834428)PMID:34169534
SPAC22A12.08c.1crd1afterI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1beforeI:complement(join(1170705..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.2crd1afterI:complement(join(1170705..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.2crd1beforeI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1afterI:complement(join(1170705..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC22A12.08c.1crd1beforeI:complement(join(1169939..1170029,1170169..1170260,1170307..1170461,1170504..1170724,1170801..1171270,1171362..1171856,1171900..1171956,1171999..1172126))
SPAC2E12.05wtf1afterI:join(5064781..5064919,5065087..5065332,5065380..5065610,5065652..5065705,5065760..5065836)pseudo->codingPMID:28631610,PMID:28631610
SPAC2E12.05wtf1beforeI:5064305..5066231pseudo->codingPMID:28631610
SPBC1706.02cwtf2afterII:complement(join(593185..593261,593368..593393,593437..593575))PMID:28631610, PMID:30991417,PMID:28631610
SPBC1706.02cwtf2beforeII:complement(join(593188..593261,593311..593368,593437..593575))PMID:28631610, PMID:30991417
SPCC162.04cwtf13afterIII:complement(join(1580123..1580268,1580319..1580381,1580422..1580613,1580650..1581006,1581055..1581327,1581559..1581694))PMID:28631610, PMID:30991417
SPCC162.04cwtf13beforeIII:complement(join(1580123..1580613,1580650..1581006,1581055..1581327,1581559..1581694))PMID:28631610, PMID:30991417
SPCC285.06cwtf17afterIII:complement(join(1805166..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806214))PMID:28631610, PMID:30991417,PMID:28631610
SPCC285.06cwtf17beforeIII:complement(join(1805166..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))PMID:28631610, PMID:30991417
SPCC285.07cwtf18afterIII:complement(join(1807004..1807131,1807182..1807244,1807285..1807476,1807513..1807836,1807885..1808157,1808396..1808534))PMID:28631610, PMID:30991417,PMID:28631610
SPCC285.07cwtf18beforeIII:complement(join(1807004..1807131,1807182..1807244,1807285..1807476,1807513..1807726,1807760..1807836,1807885..1808157,1808396..1808534))PMID:28631610, PMID:30991417
SPCC306.10wtf8afterIII:join(427445..427583,427752..427997,428047..428290,428336..428527,428568..428630,428681..428763)PMID:28631610
SPCC306.10wtf8beforeIII:join(427445..427583,427752..427997,428072..428290,428336..428527,428568..428630,428681..428763)
SPCC548.02cwtf3afterIII:complement(join(219185..219261,219315..219368,219409..219684,219734..219979,220148..220286))PMID:28631610, PMID:30991417,PMID:28631610
SPCC548.02cwtf3beforeIII:complement(join(219185..219261,219294..219368,219409..219684,219734..219979,220148..220283))PMID:28631610, PMID:30991417
SPCC548.03cwtf4afterIII:complement(join(221199..221344,221395..221457,221498..221689,221726..222016,222065..222337,222566..222701))PMID:28631610, PMID:30991417,PMID:28631610
SPCC548.03cwtf4beforeIII:complement(join(221199..221335,221395..221457,221498..221689,221726..222016,222065..222337,222566..222701))PMID:28631610, PMID:30991417
SPCC553.05cwtf6afterIII:complement(join(297140..297216,297266..297307,297349..297655,297705..297950,298119..298258))introduces stop codon at position 25PMID:28631610, PMID:30991417,PMID:28631610
SPCC553.05cwtf6beforeIII:complement(join(297354..297655,297705..297950,298119..298194))introduces stop codon at position 25PMID:28631610, PMID:30991417
SPCC576.16cwtf22afterIII:complement(join(2109178..2109281,2109333..2109395,2109436..2109608,2109645..2109923,2109973..2110221,2110391..2110528))introduces stop codon at position 50PMID:28631610,PMID:28631610
SPCC576.16cwtf22beforeIII:complement(join(2109181..2109395,2109432..2109608,2109645..2109923,2109973..2110221,2110391..2110528))introduces stop codon at position 50PMID:28631610
SPCC622.21wtf12afterIII:join(1401530..1401668,1401900..1402172,1402221..1402448,1402490..1402672)introduces stop codon at position 274PMID:30991417,PMID:28631610
SPCC622.21wtf12beforeIII:join(1401530..1401668,1401900..1402172,1402490..1402551,1402553..1402672)introduces stop codon at position 274PMID:30991417
SPCC736.05wtf7afterIII:join(320617..320755,320964..321335,321387..321523)PMID:28631610, PMID:30991417,PMID:28631610
SPCC736.05wtf7beforeIII:join(320608..320755,320964..321335,321387..321523)PMID:28631610, PMID:30991417
SPCC830.02wtf24afterIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182268,2182309..2182371,2182422..2182504)introduces stop codon at position 145PMID:28631610, PMID:30991417,PMID:28631610
SPCC830.02wtf24beforeIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182371,2182422..2182504)introduces stop codon at position 145PMID:28631610, PMID:30991417
SPMIT.03cox1-I2baftermitochondrial:6965..7816
SPMIT.03cox1-I2bbeforemitochondrial:<6845..7816
SPMIT.01cox1aftermitochondrial:join(4885..5288,6499..6843,7925..8792)
SPMIT.01cox1beforemitochondrial:join(4886..5289,6500..6844,7926..8790)
SPMIT.03cox1-I2baftermitochondrial:<6845..7816
SPMIT.03beforemitochondrial:<6966..7718
SPMIT.04cox3aftermitochondrial:8961..9770
SPMIT.04cox3beforemitochondrial:8947..9765
SPMIT.05cob1aftermitochondrial:join(10175..10858,13385..13864)
SPMIT.05cob1beforemitochondrial:join(10173..10856,13383..13862)
SPMIT.06aftermitochondrial:<10859..13282
SPMIT.06beforemitochondrial:10857..13280
SPMIT.07atp6aftermitochondrial:14758..15531
SPMIT.07atp6beforemitochondrial:14756..15529
SPMIT.11cox2aftermitochondrial:18563..19309
SPMIT.11cox2beforemitochondrial:18561..19307
SPBPB8B6.04cgrt1afterII:complement(join(49143..50910,50953..51062,51113..51181))
SPBPB8B6.04cgrt1beforeII:complement(join(49152..50910,50953..51062,51113..51181))
SPBC1271.09tgp1afterII:complement(350783..352369)
SPBC1271.09tgp1beforeII:complement(join(350692..350740,350787..352369))
SPBC1271.09tgp1afterII:complement(join(350692..350740,350787..352369))
SPBC1271.09tgp1beforeII:complement(350783..352369)
SPBC1271.09tgp1afterII:complement(350783..352369)
SPBC1271.09tgp1beforeII:complement(352200..352369)
SPBC1271.09tgp1afterII:complement(352200..352369)
SPBC1271.09tgp1beforeII:complement(join(350692..350740,350787..352369))
SPBPB8B6.04cgrt1afterII:complement(join(49152..50910,50953..51062,51113..51181))
SPBPB8B6.04cgrt1beforeII:complement(join(49143..50910,50953..51062,51113..51181))
SPBC577.05crec27afterII:complement(join(757566..757746,757796..757951,758002..758042))PMID:28469148
SPBC577.05crec27beforeII:complement(join(757566..757746,757796..757951,758130..758197))PMID:28469148
SPAC9G1.15cmzt1afterI:complement(1985350..1985544)
SPAC9G1.15cmzt1beforeI:complement(1985350..1985545)
SPBC530.13lsc1afterII:join(824374..824534,824579..824660,824874..824999,825065..825188,825245..825747)Frameshifted by Chr_II:825012!G→APMID:26615217; pers. comm. Li-Lin Du
SPBC530.13lsc1beforeII:join(824374..824534,824579..824660,824874..825011,825065..825188,825245..825747)Frameshifted by Chr_II:825012!G→APMID:26615217; pers. comm. Li-Lin Du
SPAC1071.01cpta1afterI:complement(join(3855626..3855790,3855792..3857792))Frameshifted by Chr_I:3855790!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC1071.01cpta1beforeI:complement(3855780..3857792)Frameshifted by Chr_I:3855790!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC12B10.09pet801afterI:join(4588487..4588510,4588567..4588723,4588869..4589323,4589410..4589574)PMID:26615217; pers. comm. Li-Lin Du
SPAC12B10.09pet801beforeI:join(4588250..4588510,4588567..4588723,4588869..4589323,4589410..4589574)PMID:26615217; pers. comm. Li-Lin Du
SPAC1486.05nup189afterI:join(3197028..3197529,3197529..3202450)Frameshifted by Chr_I:3197528!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPAC1486.05nup189beforeI:join(3197028..3197525,3197528..3202450)Frameshifted by Chr_I:3197528!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPAC29A4.03cmrps9afterI:join(5142407..5142626,5142626..5143224)Frameshifted by Chr_I:5142627!A→AGPMID:26615217; pers. comm. Li-Lin Du,SPD:03/03A08
SPAC29A4.03cbeforeI:join(5142407..5142628,5142631..5143224)Frameshifted by Chr_I:5142627!A→AGPMID:26615217; pers. comm. Li-Lin Du,SPD:03/03A08
SPAC29E6.03cuso1afterI:complement(join(4405990..4407494,4407494..4409096,4409171..4409338))Frameshifted by Chr_I:4407494!T→TGPMID:26615217; pers. comm. Li-Lin Du
SPAC29E6.03cuso1beforeI:complement(join(4405990..4407375,4407447..4409096,4409171..4409338))Frameshifted by Chr_I:4407494!T→TGPMID:26615217; pers. comm. Li-Lin Du
SPAC29E6.04nnf1afterI:join(4409773..4410190,4410192..4410391)Frameshifted by Chr_I:4410191!CG→CPMID:26615217; pers. comm. Li-Lin Du
SPAC29E6.04nnf1beforeI:join(4409773..4410192,4410194..4410391)Frameshifted by Chr_I:4410191!CG→CPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.06mvp1afterI:complement(join(3459233..3459436,3459492..3459665,3459705..3459897,3459941..3460185,3460234..3460318,3460318..3460372,3460425..3460442,3460508..3460560,3460642..3461263,3461323..3461583,3461766..3461859))Frameshifted by Chr_I:3460318!T→TPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.06mvp1beforeI:complement(join(3459233..3459436,3459492..3459665,3459705..3459897,3459941..3460185,3460234..3460364,3460425..3460442,3460508..3460560,3460642..3461263,3461323..3461583,3461766..3461859))Frameshifted by Chr_I:3460318!T→TPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.09sod22afterI:complement(join(3450056..3450130,3450132..3452269,3452485..3452608))Frameshifted by Chr_I:3450130!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC3A11.09sod22beforeI:complement(join(3450114..3452269,3452485..3452608))Frameshifted by Chr_I:3450130!GT→GPMID:26615217; pers. comm. Li-Lin Du
SPAC688.08srb8afterI:join(3123163..3125118,3125118..3126310,3126356..3126653)Frameshifted by Chr_I:3125118!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPAC688.08srb8beforeI:join(3123163..3125057,3125099..3126310,3126356..3126653)Frameshifted by Chr_I:3125118!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPBC13E7.01cwf22afterII:join(3037988..3040332,3040332..3040650)Frameshifted by Chr_II:3040332!C→CGPMID:26615217; pers. comm. Li-Lin Du
SPBC13E7.01cwf22beforeII:join(3037988..3040331,3040334..3040650)Frameshifted by Chr_II:3040332!C→CGPMID:26615217; pers. comm. Li-Lin Du
SPBC14C8.09cdbl3afterII:complement(join(2219430..2219928,2219928..2220322))Frameshifted by Chr_II:2219928!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPBC14C8.09cdbl3beforeII:complement(join(2219430..2219934,2219937..2220322))Frameshifted by Chr_II:2219928!A→ATPMID:26615217; pers. comm. Li-Lin Du
SPBC16D10.10tad2afterII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618920,3618968..3619003,3619003..3619071,3619113..3619321,3619366..3619540)Frameshifted by Chr_II:3619003!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC16D10.10tad2beforeII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618918,3618956..3619071,3619113..3619321,3619366..3619540)Frameshifted by Chr_II:3619003!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC16E9.16clsd90afterII:complement(join(1947985..1948952,1948954..1950048,1950048..1950255))Frameshifted by Chr_II:1948953!GA→G and Chr_II:1950050!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC16E9.16clsd90beforeII:complement(join(1947985..1948953,1948955..1950050,1950053..1950255))Frameshifted by Chr_II:1948953!GA→G and Chr_II:1950050!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC1A4.06ctam41afterII:complement(join(1987044..1987100,1987102..1987117,1987119..1987675,1987737..1988015,1988081..1988353))Frameshifted by Chr_II:1987101!CG→C and Chr_II:1987117!TG→TPMID:26615217; pers. comm. Li-Lin Du
SPBC1A4.06ctam41beforeII:complement(join(1987044..1987099,1987102..1987675,1987737..1988015,1988081..1988353))Frameshifted by Chr_II:1987101!CG→C and Chr_II:1987117!TG→TPMID:26615217; pers. comm. Li-Lin Du
SPBC1E8.03cafterII:complement(join(1960166..1960392,1960392..1961817))Frameshifted by Chr_II:1960392!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC1E8.03cbeforeII:complement(1960384..1961817)Frameshifted by Chr_II:1960392!A→AGPMID:26615217; pers. comm. Li-Lin Du
SPBC23G7.06cafterII:complement(join(2106448..2108180,2108180..2108786))Frameshifted by Chr_II:2108180!T→TAPMID:26615217; pers. comm. Li-Lin Du
SPBC23G7.06cbeforeII:complement(join(2106448..2108178,2108181..2108786))Frameshifted by Chr_II:2108180!T→TAPMID:26615217; pers. comm. Li-Lin Du
SPBC29A3.08pof4afterII:join(2053033..2053517,2053517..2053823)Frameshifted by Chr_II:2053516!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPBC29A3.08pof4beforeII:join(2053033..2053517,2053519..2053600)Frameshifted by Chr_II:2053516!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPBC32F12.08cduo1afterII:complement(join(2797652..2798040,2798042..2798507))Frameshifted by Chr_II:2798040!CT→CPMID:26615217; pers. comm. Li-Lin Du
SPBC32F12.08cduo1beforeII:complement(2798007..2798507)Frameshifted by Chr_II:2798040!CT→CPMID:26615217; pers. comm. Li-Lin Du
SPBC4F6.10vps901afterII:join(2708076..2709414,2709414..2709793)Frameshifted by Chr_II:2709414!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPBC4F6.10vps901beforeII:join(2708076..2709415,2709418..2709793)Frameshifted by Chr_II:2709414!G→GCPMID:26615217; pers. comm. Li-Lin Du
SPAC17G8.01ctrl1afterI:complement(join(2341346..2343703,2343703..2343756))Frameshifted by Chr_I:2343703!G→GAPMID:26615217; pers. comm. Li-Lin Du
SPAC17G8.01ctrl1beforeI:complement(join(2341346..2343706,2343754..2343756))Frameshifted by Chr_I:2343703!G→GAPMID:26615217; pers. comm. Li-Lin Du
SPAC3A12.04crpp1afterI:complement(join(1424660..1424708,1424710..1425161,1425231..1425329,1425372..1425430,1425478..1425562))Frameshifted by Chr_I:1424708!CA→CPMID:26615217, pers. comm. Li-Lin Du
SPAC3A12.04crpp1beforeI:complement(join(1424697..1425161,1425231..1425329,1425372..1425430,1425478..1425562))Frameshifted by Chr_I:1424708!CA→CPMID:26615217, pers. comm. Li-Lin Du
SPAC823.04rrp36afterI:join(2587729..2587897,2587952..2588025,2588025..2588066,2588066..2588620)Frameshifted by Chr_I:2588066!C→CA and Chr_I:2588021!C→CAPMID:26615217; pers. comm. Li-Lin Du
SPAC823.04rrp36beforeI:join(2587729..2587897,2587952..2588028,2588031..2588143,2588182..2588620)Frameshifted by Chr_I:2588066!C→CA and Chr_I:2588021!C→CAPMID:26615217; pers. comm. Li-Lin Du
SPAP27G11.10cnup184afterI:complement(join(1624885..1625092,1625092..1629753,1629825..1629841))Frameshifted by Chr_I:1625092!T→TCPMID:26615217; pers. comm. Li-Lin Du
SPAP27G11.10cnup184beforeI:complement(join(1625076..1629753,1629825..1629841))Frameshifted by Chr_I:1625092!T→TCPMID:26615217; pers. comm. Li-Lin Du
SPBC21B10.12rec6afterII:complement(join(1649038..1649472,1649558..1649727,1649815..1649878,1650043..1650156))PMID:26917764
SPBC21B10.12rec6beforeII:complement(join(1649038..1649472,1649558..1649671))PMID:26917764
SPAC22F3.11csnu23afterI:join(682874..682996,682998..683109,683160..683446)based on ribosome profilingPMID:22365419, PMID:24929437
SPAC22F3.11csnu23beforeI:join(682874..683034,683102..683109,683160..683446)based on ribosome profilingPMID:22365419, PMID:24929437
SPAC29A4.23afterI:join(5139024..5139190,5139192..5139424,5139427..5139575)Frameshifted; intron/exon boundary changes; coordinates changedPMID:26494834
SPAC29A4.23beforeI:join(5139024..5139190,5139225..5139425,5139455..5139575)Frameshifted; intron/exon boundary changes; coordinates changedPMID:26494834
SPAPB24D3.05cafterI:complement(join(2954983..2955219,2955222..2955353,2955360..2955377))
SPAPB24D3.05cbeforeI:complement(join(2954983..2955191,2955194..2955350))
SPCC622.17apn1afterIII:join(1435178..1435181,1435272..1435335,1435596..1435850,1435923..1436649)
SPCC622.17apn1beforeIII:join(1435178..1435335,1435596..1435850,1435923..1436649)
SPBC13G1.04cabh1afterII:complement(join(3732806..3732930,3732994..3733762))N-terminal shortened to use downstream methioninePMID:22365419
SPBC13G1.04cabh1beforeII:complement(join(3732806..3732930,3732994..3733777))N-terminal shortened to use downstream methioninePMID:22365419
SPAC1486.05nup189afterI:join(3197028..3197525,3197528..3202450)
SPAC1486.05nup189beforeI:join(3197028..3197528,3197528..3202450)
SPAC1486.05nup189afterI:join(3197028..3197528,3197528..3202450)pers. comm. Y. Hiraoka
SPAC1486.05nup189beforeI:join(3197028..3197443,3197530..3202450)pers. comm. Y. Hiraoka
SPAC1D4.08pis1afterI:join(650488..650545,651193..651848)based on ribosome profilingPMID:24929437
SPAC1D4.08pis1beforeI:join(650814..650893,651173..651848)based on ribosome profilingPMID:24929437
SPAC22F3.04mug62afterI:complement(join(698033..698177,698223..698441,698480..698841,698884..699104,699148..699363,699410..702557,702603..702755))based on ribosome profilingPMID:24929437
SPAC22F3.04mug62beforeI:complement(join(698033..698177,698223..698441,698480..698841,698884..699104,699148..699363,699410..702533))based on ribosome profilingPMID:24929437
SPCC320.09hem15afterIII:complement(join(149153..150163,150279..150323,150374..150589))based on ribosome profilingPMID:24929437
SPCC320.09hem15beforeIII:complement(join(149153..150163,150279..150323,150374..150472))based on ribosome profilingPMID:24929437
SPBC146.01med15afterII:join(996797..996870,996917..997019,997066..1000080)based on ribosome profilingPMID:24929437
SPBC146.01med15beforeII:join(996843..997019,997066..1000080)based on ribosome profilingPMID:24929437
SPBC27B12.10ctom7afterII:complement(join(1343913..1343934,1343989..1344025,1344082..1344157,1344214..1344237))based on ribosome profilingPMID:24929437
SPBC27B12.10ctom7beforeII:complement(join(1344032..1344157,1344214..1344237))based on ribosome profilingPMID:24929437
SPBC839.02afterII:597611..599125based on ribosome profilingPMID:24929437
SPBC839.02beforeII:join(597611..599124,599256..599334)based on ribosome profilingPMID:24929437
SPCC162.07ent1afterIII:complement(join(1571648..1573733,1574258..1574280))based on ribosome profilingPMID:24929437
SPCC162.07ent1beforeIII:complement(join(1571648..1573733,1574016..1574050))based on ribosome profilingPMID:24929437
SPCC417.03afterIII:join(1672003..1672051,1672243..1672332)based on ribosome profilingPMID:24929437
SPCC417.03beforeIII:join(1672003..1672051,1672111..1672364)based on ribosome profilingPMID:24929437
SPBC17G9.09tif213afterII:2187712..2189052
SPBC17G9.09tif213beforeII:join(2187712..2189052,2187712..2189052)
SPBC17G9.09tif213afterII:join(2187712..2189052,2187712..2189052)
SPBC17G9.09tif213beforeII:2187712..2189052
SPAC5H10.06cadh4afterI:complement(156548..157687)N-terminal shortened to use downstream methionine; removed 43 amino acids; UTR exon annotatedPMID:24003116
SPAC5H10.06cadh4beforeI:complement(156548..157816)N-terminal shortened to use downstream methionine; removed 43 amino acids; UTR exon annotatedPMID:24003116
SPBC3D6.04cmad1afterII:complement(join(1274979..1276897,1276948..1277059))N-terminal shortened to use downstream methionine; removed 13 amino acidspers. comm. Silke Hauf
SPBC3D6.04cmad1beforeII:complement(join(1274979..1276897,1276948..1277098))N-terminal shortened to use downstream methionine; removed 13 amino acidspers. comm. Silke Hauf
SPBC25B2.07cmmb1afterII:complement(2609038..2610543)N-terminal shortened to use downstream methioninePMID:21856157
SPBC25B2.07cmmb1beforeII:complement(2609038..2610591)N-terminal shortened to use downstream methioninePMID:21856157
SPAC9G1.15cmzt1afterI:complement(1985350..1985545)N-terminal shortened to use downstream methioninePMID:23885124, PMID:24006493
SPAC9G1.15cmzt1beforeI:complement(1985350..1985643)N-terminal shortened to use downstream methioninePMID:23885124, PMID:24006493
SPAC4A8.08cvrs2afterI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561714))
SPAC4A8.08cvrs2beforeI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561710))KEGG:MAP00290,KEGG:MAP00970
SPAC2F3.13cafterI:complement(join(3949057..3949921,3949997..3950178))removed N terminal region overlapping with plp1
SPAC2F3.13cbeforeI:complement(join(3947930..3948241,3948283..3948358,3948407..3948493,3948538..3948690,3948735..3949046,3949094..3949921,3949997..3950178))removed N terminal region overlapping with plp1
SPAC4A8.08cvrs2afterI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561710))
SPAC4A8.08cvrs2beforeI:complement(join(2558600..2558893,2558942..2559214,2559254..2561080,2561121..2561210,2561255..2561371,2561410..2561562,2561616..2561714))
SPBC1E8.04Tf2-10afterII:join(1965390..1967475,1967478..1969387)
SPBC1E8.04Tf2-10-pseudobeforeII:1965390..1969387
SPCC1494.11cTf2-13afterIII:complement(join(2320320..2322056,2322059..2324320))
SPCC1494.11cTf2-13-pseudobeforeIII:complement(2320320..2324320)
SPBC1861.08clea1afterII:complement(join(4145289..4145921,4145983..4146063))
SPBC1861.08clea1beforeII:complement(join(4145289..4145929,4145967..4145984))
SPBC1861.08clea1afterII:complement(join(4145289..4145929,4145967..4145984))
SPBC1861.08clea1beforeII:complement(join(4145289..4145929,4145985..4146063))
SPBC29A3.06afterII:join(2048228..2049892,2049894..2049896)N terminal extended
SPBC29A3.06beforeII:join(2048336..2049892,2049894..2049896)N terminal extended
SPBC30D10.16pha2afterII:complement(join(3064223..3065032,3065178..3065231))
SPBC30D10.16pha2beforeII:complement(join(3064223..3064932,3064978..3065032,3065178..3065231))
SPBPB10D8.03afterII:87727..89029
SPBPB10D8.03beforeII:join(87727..88101,88103..89029)
SPCC1281.07cafterIII:complement(1397625..1398638)N terminal extended by 24 amino acids
SPCC1281.07cbeforeIII:complement(1397625..1398566)N terminal extended by 24 amino acids
SPCC4B3.05chem12afterIII:join(1166559..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)N terminal extended by 4 amino acids based on homology
SPCC4B3.05chem12beforeIII:join(1166571..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)N terminal extended by 4 amino acids based on homology
SPCC622.17apn1afterIII:join(1435178..1435335,1435596..1435850,1435923..1436649)
SPCC622.17apn1beforeIII:join(1435250..1435335,1435596..1435850,1435923..1436649)
SPMIT.03aftermitochondrial:<6966..7718
SPMIT.03beforemitochondrial:<6845..7817
SPAC23A1.20new11afterI:complement(join(4100755..4101269,4101272..4101275))
SPAC23A1.20new11beforeI:complement(4100755..4101318)
SPAC24H6.06sld3afterI:complement(join(476549..478606,478655..478696))
SPAC24H6.06sld3beforeI:complement(join(476549..477542,477636..478606,478655..478696))
SPAC4G9.22afterI:2292013..2292297
SPAC4G9.22beforeI:2291983..2292297
SPBC11B10.10cpht1afterII:complement(1502642..1503061)
SPBC11B10.10cpht1beforeII:complement(1502642..1503157)
SPBC1711.10cnpl4afterII:complement(join(2152459..2152575,2152627..2154144,2154207..2154287,2154333..2154335))
SPBC1711.10cnpl4beforeII:complement(join(2152462..2152575,2152627..2154144,2154207..2154287,2154333..2154335))
SPCC622.17apn1afterIII:join(1435250..1435335,1435596..1435850,1435923..1436649)
SPCC622.17apn1beforeIII:join(1435178..1435181,1435272..1435335,1435596..1435850,1435923..1436649)
SPAC1002.12cafterI:complement(1818695..1820338)
SPAC1002.12cbeforeI:complement(1818695..1820191)
SPAC1002.17curg2afterI:complement(1831012..1831626)
SPAC1002.17curg2beforeI:complement(1831012..1831581)
SPAC105.01ckha1afterI:complement(join(1740616..1743124,1743299..1743378,1743421..1743501))
SPAC105.01ckha1beforeI:complement(join(1740616..1743124,1743299..1743378,1743421..1743503,1743536..1743560))
SPAC1093.03afterI:join(4613627..4613686,4613723..4614081,4614152..4614378,4614438..4614954,4614996..4616331)
SPAC1093.03beforeI:join(4613627..4613686,4613723..4614081,4614164..4614378,4614438..4614954,4614996..4616331)
SPAC10F6.10afterI:join(1225599..1225725,1225811..1225936,1226039..1227279)
SPAC10F6.10beforeI:join(1225599..1225725,1225811..1225936,1225967..1227279)
SPAC10F6.11catg17afterI:complement(1227416..1228651)
SPAC10F6.11catg17beforeI:complement(1227416..1228861)
SPAC11E3.03pcs1afterI:join(5286130..5286181,5286221..5286562,5286609..5286821,5286877..5287055)
SPAC11E3.03pcs1beforeI:join(5286289..5286562,5286606..5286821,5286877..5287055)
SPAC1296.06tah18afterI:join(719447..719581,719663..719740,719791..719888,719926..720024,720066..721410)
SPAC1296.06tah18beforeI:join(719447..719581,719663..719740,719906..720024,720066..721410)
SPAC12G12.15sif3afterI:complement(join(317431..317469,317514..318172,318221..318941))
SPAC12G12.15sif3beforeI:complement(join(317310..317462,317514..318172,318221..318941))
SPAC13F5.04cafterI:complement(join(2177582..2178355,2178693..2178887,2179020..2179117,2179380..2179482))
SPAC13F5.04cbeforeI:complement(join(2177582..2178355,2178446..2178505))
SPAC13G6.05ctrs33afterI:complement(join(181077..181436,181485..181574,181632..181749,182001..182194))
SPAC13G6.05ctrs33beforeI:complement(join(181077..181436,181485..181574,181632..181749,182001..182170))
SPAC13G6.06cgcv2afterI:complement(182976..186071)
SPAC13G6.06cgcv2beforeI:complement(182976..186029)
SPAC13G7.07arb2afterI:join(2309026..2309212,2309259..2309569,2309610..2309667,2309714..2309946,2309998..2310088,2310130..2310215)
SPAC13G7.07arb2beforeI:join(2309026..2309212,2309259..2309569,2309610..2309667,2309714..2309958)
SPAC140.01sdh2afterI:1895464..1896291
SPAC140.01sdh2beforeI:1895533..1896291
SPAC144.06apl5afterI:join(4664387..4664545,4664586..4664747,4664799..4666668,4666714..4666976,4667016..4667039)
SPAC144.06apl5beforeI:join(4664387..4664545,4664586..4664747,4664799..4666982)
SPAC14C4.02csmc5afterI:complement(join(5226406..5229417,5229467..5229632,5229701..5229753))
SPAC14C4.02csmc5beforeI:complement(join(5226406..5229417,5229467..5229652))
SPAC14C4.08mug5afterI:5243053..5243610
SPAC14C4.08mug5beforeI:5243071..5243610
SPAC15A10.06afterI:join(3688782..3688806,3689322..3689638,3689722..3690441,3690484..3691125)
SPAC15A10.06beforeI:join(3689230..3689260,3689322..3689638,3689722..3690441,3690484..3691125)
SPAC15A10.07afterI:3691391..3691879
SPAC15A10.07beforeI:3691307..3691879
SPAC1639.01cafterI:complement(join(251726..252337,252392..252752,253590..253714))
SPAC1639.01cbeforeI:complement(join(251726..251745,251863..252337,252392..252752,253590..253630))
SPAC1639.02ctrk2afterI:complement(join(256030..256134,256345..256370,256427..256445,256542..256612,256684..256750,256797..257009,257055..257070,257116..257135,257179..257181,257229..258184,258220..259120,259161..259315,259356..259461))
SPAC1639.02ctrk2beforeI:complement(join(256030..256134,256345..256370,256427..256445,256542..256612,256684..256750,256797..257009,257055..257070,257116..257135,257179..257181,257229..258184,258220..259120,259161..259406))
SPAC167.04pam17afterI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554827))
SPAC167.04pam17beforeI:complement(join(1554001..1554072,1554135..1554166,1554214..1554292,1554381..1554791))
SPAC167.09afterI:join(1558670..1558957,1559007..1559127,1559174..1559301)
SPAC167.09beforeI:join(1558670..1558957,1559007..1559147)
SPAC1687.17cafterI:complement(join(935249..935668,935747..935812,935860..935899,935943..935989))
SPAC1687.17cbeforeI:complement(join(935249..935668,935860..935899,935943..935989))
SPAC16A10.03cafterI:complement(join(3081568..3083850,3083902..3084081,3084125..3084190,3084230..3084244))
SPAC16A10.03cbeforeI:complement(join(3081568..3083850,3083902..3084081,3084125..3084244))
SPAC16A10.05cdad1afterI:complement(3089053..3089325)
SPAC16A10.05cdad1beforeI:complement(3089053..3089310)
SPAC16A10.06cnse2afterI:complement(join(3089583..3090047,3090163..3090285,3090533..3090697))
SPAC16A10.06cnse2beforeI:complement(join(3089583..3090047,3090112..3090285,3090533..3090697))
SPAC16E8.07cvph1afterI:complement(join(3510419..3512794,3512848..3512948,3513001..3513019))
SPAC16E8.07cvph1beforeI:complement(join(3510419..3512794,3512848..3512889))
SPAC16E8.11ctfb1afterI:complement(join(3520542..3520619,3520663..3521206,3521264..3521447,3521493..3522155,3522201..3522287,3522325..3522370))
SPAC16E8.11ctfb1beforeI:complement(join(3520542..3520619,3520663..3521206,3521264..3521447,3521493..3522120))
SPAC1751.04afterI:join(384320..384349,384480..384590,384986..385060,385125..385220)
SPAC1751.04beforeI:join(384627..384750,384812..384888,384986..385060,385125..385220)
SPAC1783.02cvps66afterI:complement(join(2189507..2189845,2189907..2190180,2190245..2190509,2190697..2190721))
SPAC1783.02cvps66beforeI:complement(join(2189507..2189845,2189907..2190180,2190245..2190509,2190566..2190674))
SPAC17A2.08cafterI:complement(join(3568267..3569092,3569141..3569226,3569292..3569368,3569443..3569539))
SPAC17A2.08cbeforeI:complement(3568267..3569079)
SPAC17A5.07culp2afterI:complement(join(1764336..1764792,1764877..1765113,1765168..1765272,1765342..1766188,1766337..1766530,1766589..1766644,1766691..1766711))
SPAC17A5.07culp2beforeI:complement(join(1764336..1764792,1764877..1765113,1765168..1765272,1765342..1766188,1766337..1766644,1766691..1766695))
SPAC17D4.04afterI:join(4729751..4729783,4729834..4729880,4729920..4730042,4730088..4731893,4731938..4731995)
SPAC17D4.04beforeI:join(4729888..4730042,4730088..4731897)
SPAC17G6.15cafterI:complement(join(3619344..3619703,3619808..3620143,3620184..3620257,3620371..3620480,3620529..3620554,3620595..3620657))
SPAC17G6.15cbeforeI:complement(join(3619344..3619703,3619808..3620143,3620184..3620257,3620371..3620480,3620529..3620626))
SPAC17G6.16cysh1afterI:complement(join(3621007..3621470,3621514..3622060,3622105..3623005,3623047..3623175,3623309..3623406,3623456..3623542,3623597..3623644))
SPAC17G6.16cysh1beforeI:complement(join(3621007..3621470,3621514..3622060,3622105..3623005,3623047..3623175,3623309..3623406,3623456..3623644))
SPAC17G8.05med20afterI:join(2350327..2350340,2350383..2350471,2350541..2351019)
SPAC17G8.05med20beforeI:join(2350408..2350471,2350541..2351019)
SPAC17G8.09shg1afterI:join(2357361..2357468,2357576..2357697,2357763..2357931)
SPAC17G8.09shg1beforeI:join(2357361..2357456,2357576..2357697,2357763..2357931)
SPAC17G8.15new1afterI:join(2348008..2348088,2348209..2348322,2348425..2348451)
SPAC17G8.15new1beforeI:join(2348008..2348088,2348209..2348331)
SPAC1805.03ctrm13afterI:complement(join(2775340..2776083,2776135..2776171,2776251..2776576))
SPAC1805.03ctrm13beforeI:complement(join(2775340..2776083,2776135..2776171,2776251..2776598,2776787..2776881))
SPAC186.04cafterI:complement(5538574..5539101)
SPAC186.04cbeforeI:complement(5538574..5539017)
SPAC18B11.03cafterI:join(312182..312212,312274..313586)
SPAC18B11.03cbeforeI:312264..313586
SPAC18G6.04cshm2afterI:complement(join(2217187..2218569,2218716..2218799))
SPAC18G6.04cshm2beforeI:complement(2217187..2218605)
SPAC1952.04cafterI:complement(join(4972426..4972662,4972852..4972922,4973017..4973030,4973244..4973335))
SPAC1952.04cbeforeI:complement(join(4972134..4972225,4972353..4972369,4972430..4972662,4972852..4972986))
SPAC1952.14cmrpl25afterI:complement(join(4993896..4993934,4994046..4994444))
SPAC1952.14cmrpl25beforeI:complement(4993998..4994444)
SPAC1952.16rga9afterI:join(4997617..4997719,4997775..4997935,4997988..4998734,4998777..4999017,4999068..4999154,4999207..4999233,4999274..4999672,4999708..4999955)
SPAC1952.16rga9beforeI:join(4997617..4997719,4997775..4997935,4997988..4999017,4999068..4999154,4999207..4999233,4999274..4999672,4999708..4999955)
SPAC19A8.04erg5afterI:complement(join(2480147..2481645,2481978..2482110))
SPAC19A8.04erg5beforeI:complement(join(2480147..2481645,2481978..2482104))
SPAC19G12.07crsd1afterI:complement(join(4053810..4054068,4054110..4054184,4054234..4054554,4054627..4054800,4054848..4054985,4055082..4055872,4055964..4056017))
SPAC19G12.07crsd1beforeI:complement(join(4053810..4054068,4054110..4054187,4054234..4054554,4054627..4054800,4054848..4054985,4055082..4055872,4055964..4056017))
SPAC19G12.17new10afterI:complement(join(4066258..4066328,4066387..4066491,4066623..4066652,4066728..4066785,4066837..4066858,4066943..4066971))
SPAC19G12.17new10beforeI:complement(join(4066258..4066328,4066387..4066491,4066623..4066652,4066728..4066785,4066837..4066858,4066903..4066940))
SPAC1A6.03cafterI:complement(join(1070061..1070138,1070205..1072127))
SPAC1A6.03cbeforeI:complement(join(1070061..1070138,1070205..1072013))
SPAC1B1.04cafterI:complement(join(3544727..3544801,3544849..3544920,3544971..3545250,3545315..3545861,3545919..3546701,3546740..3546914,3547052..3547152,3547267..3547279))
SPAC1B1.04cbeforeI:complement(join(3544813..3544920,3544971..3545250,3545315..3546741))
SPAC1B3.04cafterI:complement(join(4931313..4931351,4931503..4932927,4933016..4933510))
SPAC1B3.04cbeforeI:complement(join(4931482..4932927,4933016..4933510))
SPAC1B3.05not3afterI:join(4934663..4934684,4934731..4934768,4934831..4935025,4935082..4936749)
SPAC1B3.05not3beforeI:join(4934801..4935025,4935082..4936749)
SPAC1B3.13afterI:join(4951432..4951565,4951737..4954023)
SPAC1B3.13beforeI:join(4951450..4951565,4951737..4954023)
SPAC1D4.01afterI:639411..640175
SPAC1D4.01beforeI:639318..640175
SPAC20H4.05cafterI:complement(join(2119362..2119570,2119614..2119789,2119838..2119915,2119975..2120052,2120096..2120119,2120163..2120284))
SPAC20H4.05cbeforeI:complement(join(2119362..2119570,2119614..2119792,2119838..2119915,2119975..2120052,2120163..2120284))
SPAC212.06cafterI:join(18072..18306,18349..18557)
SPAC212.06cbeforeI:join(18042..18306,18349..18557)
SPAC212.12afterI:15855..16226
SPAC212.12beforeI:15993..16226
SPAC222.16ccsn3afterI:complement(join(979679..980026,980093..980239,980289..980378,980434..980532,980628..980774,980846..980898,980944..981076))
SPAC222.16ccsn3beforeI:complement(join(979679..980026,980093..980239,980289..980378,980434..980532,980628..980774,980846..980898,980944..981064))
SPAC227.11cafterI:complement(join(514552..515082,515222..515482,515534..515674))
SPAC227.11cbeforeI:complement(join(514552..515082,515222..515482,515534..515659))
SPAC22A12.13mug84afterI:1180254..1180841
SPAC22A12.13mug84beforeI:1180479..1180841
SPAC22E12.17cglo3afterI:complement(join(5053107..5054373,5054436..5054554,5054608..5054673))
SPAC22E12.17cglo3beforeI:complement(join(5053107..5054382,5054436..5054554,5054608..5054673))
SPAC22F3.11csnu23afterI:join(682874..683034,683102..683109,683160..683446)gene structure updatedPMID:21511999
SPAC22F3.11csnu23beforeI:join(682874..682994,682996..683109,683160..683446)gene structure updatedPMID:21511999
SPAC22G7.07cafterI:complement(747143..748402)
SPAC22G7.07cbeforeI:complement(747143..748384)
SPAC22H10.02afterI:join(2371752..2371809,2371877..2371965,2372103..2372372)
SPAC22H10.02beforeI:join(2371692..2371809,2371877..2371965,2372103..2372372)
SPAC22H10.03ckap114afterI:complement(join(2373144..2373263,2373303..2373376,2373413..2373583,2373626..2373744,2373792..2373961,2374002..2376223,2376280..2376385))
SPAC22H10.03ckap114beforeI:complement(join(2373144..2373263,2373303..2373355,2373413..2373583,2373626..2373744,2373792..2373961,2374002..2376223,2376280..2376385))
SPAC23A1.18cmrp51afterI:complement(4112685..4113596)
SPAC23A1.18cmrp51beforeI:complement(4112685..4113560)
SPAC23C11.04cpnk1afterI:complement(join(2138064..2138210,2138267..2138409,2138449..2138844,2138898..2139438))
SPAC23C11.04cpnk1beforeI:complement(join(2138064..2138210,2138267..2138844,2138898..2139438))
SPAC23C4.17afterI:join(1058395..1058415,1058465..1058514,1058623..1059777,1059838..1060104,1060143..1060670,1060709..1060745)
SPAC23C4.17beforeI:join(1058395..1058415,1058465..1058514,1058623..1059777,1059838..1060104,1060143..1060674)
SPAC23D3.09arp42afterI:complement(join(4353826..4355096,4355173..4355176))
SPAC23D3.09arp42beforeI:complement(4353826..4355118)
SPAC23D3.16afterI:join(4365700..4365734,4365789..4365844,4366009..4366163)
SPAC23D3.16beforeI:join(4365700..4365734,4365789..4365852)
SPAC23D3.17afterI:complement(join(4366509..4366563,4366611..4366693,4366770..4366868))
SPAC23D3.17beforeI:complement(join(4366509..4366563,4366611..4366753))
SPAC23H4.17csrb10afterI:join(1576854..1577836,1577902..1578028)
SPAC23H4.17csrb10beforeI:1576854..1577912
SPAC24C9.06cafterI:complement(join(3048409..3050745,3051375..3051407))
SPAC24C9.06cbeforeI:complement(3048409..3050745)
SPAC24C9.09afterI:3063767..3065191
SPAC24C9.09beforeI:3063770..3065191
SPAC25B8.06cafterI:complement(join(4164278..4164599,4164657..4165774))
SPAC25B8.06cbeforeI:complement(join(4164278..4164599,4164657..4165699))
SPAC26F1.14caif1afterI:5146165..5148000
SPAC26F1.14caif1beforeI:5146273..5148000
SPAC26H5.12rpo41afterI:4147739..4151203
SPAC26H5.12rpo41beforeI:4147841..4151203
SPAC29B12.08afterI:join(5428407..5428522,5429119..5431072)
SPAC29B12.08beforeI:join(5429038..5429045,5429119..5431072)
SPAC29B12.14cafterI:complement(5439849..5441621)
SPAC29B12.14cbeforeI:complement(5439849..5441594)
SPAC2C4.06cafterI:complement(join(4269367..4270554,4270616..4270674,4270736..4270871))
SPAC2C4.06cbeforeI:complement(join(4269367..4270554,4270631..4270674,4270736..4270871))
SPAC2C4.12cafterI:complement(4279873..4280970)
SPAC2C4.12cbeforeI:complement(4279873..4280958)
SPAC2F3.13cafterI:complement(join(3947930..3948241,3948283..3948358,3948407..3948493,3948538..3948690,3948735..3949046,3949094..3949921,3949997..3950178))
SPAC2F3.13cbeforeI:complement(join(3949057..3949921,3949997..3950178))
SPAC2F3.18cafterI:complement(join(3942299..3942364,3942506..3942669,3942775..3942802))
SPAC2F3.18cbeforeI:complement(join(3942299..3942364,3942506..3942730))
SPAC2G11.09afterI:join(823739..823784,823894..826229)
SPAC2G11.09beforeI:join(823755..823784,823869..826229)
SPAC31A2.05cmis4afterI:complement(join(391838..391915,391956..392612,392652..392787,392828..394611,394656..395123,395167..396502,396546..396741,396781..396889))
SPAC31A2.05cmis4beforeI:complement(join(391838..391915,391956..392612,392652..392787,392828..394611,394656..395123,395167..396502,396546..396741,396781..396877))
SPAC31A2.15cdcc1afterI:complement(join(418475..418720,418759..419220,419268..419502,419602..419732))
SPAC31A2.15cdcc1beforeI:complement(join(418537..419220,419268..419502,419602..419732))
SPAC31G5.15psd3afterI:join(3014466..3014555,3014595..3014663,3014720..3014947,3015007..3015472,3015515..3016560,3016601..3016775,3016826..3016967,3017011..3017698)
SPAC31G5.15psd3beforeI:join(3014466..3014663,3014720..3014947,3015007..3015472,3015515..3016560,3016601..3016775,3016826..3016967,3017011..3017698)
SPAC323.01cpos5afterI:complement(join(3907586..3908550,3908600..3908795))
SPAC323.01cpos5beforeI:complement(join(3907586..3908550,3908675..3908795))
SPAC323.06cuba5afterI:complement(join(3915615..3915698,3915746..3915821,3915865..3916072,3916108..3916298,3916340..3916527,3916569..3916873,3916913..3917102,3917140..3917303,3917347..3917459,3917497..3917531))
SPAC323.06cuba5beforeI:complement(join(3915615..3915698,3915746..3915821,3915865..3916021,3916108..3916298,3916340..3916527,3916569..3916873,3916913..3917102,3917140..3917303,3917347..3917459,3917497..3917531))
SPAC328.05afterI:join(3484678..3484698,3484736..3485065,3485241..3485342,3485382..3485483,3485582..3485974,3486056..3486502)
SPAC328.05beforeI:join(3484695..3484698,3484752..3485065,3485241..3485342,3485382..3485528,3485582..3485974,3486056..3486502)
SPAC343.08cmrp17afterI:complement(join(1653288..1653306,1653356..1653606,1653724..1653789))
SPAC343.08cmrp17beforeI:complement(join(1653288..1653306,1653356..1653606,1653724..1653783))
SPAC3A11.03afterI:join(3466834..3467475,3467608..3467835)
SPAC3A11.03beforeI:join(3466462..3466483,3466772..3467472,3467608..3467835)
SPAC3A11.04afterI:complement(join(3465309..3465444,3465542..3466006,3466165..3466313))
SPAC3A11.04beforeI:complement(join(3465309..3465444,3465542..3466006,3466165..3466274))
SPAC3C7.07cafterI:complement(join(2077280..2077384,2077424..2077684,2077726..2077796,2077843..2078366,2078421..2078486,2078528..2078559,2078614..2078730))
SPAC3C7.07cbeforeI:complement(join(2077280..2077384,2077424..2077684,2077726..2077796,2077843..2078366,2078421..2078486,2078528..2078550,2078695..2078730))
SPAC3F10.11cabc2afterI:complement(2837268..2841704)
SPAC3F10.11cabc2beforeI:complement(2837268..2841659)
SPAC3G6.03cafterI:complement(join(5383955..5384083,5384207..5384530,5384630..5384758,5385010..5385153))
SPAC3G6.03cbeforeI:complement(join(5383955..5384083,5384207..5384530,5384630..5384758,5385010..5385138))
SPAC3H5.08cafterI:join(3425966..3426104,3426211..3428390,3428428..3428910)
SPAC3H5.08cbeforeI:join(3426306..3428390,3428428..3428910)
SPAC3H5.09cafterI:3416722..3424821
SPAC3H5.09cbeforeI:3416764..3424821
SPAC458.04cdil1afterI:complement(join(4737605..4738147,4738189..4738283,4738330..4738554,4738597..4738740,4738779..4738854))
SPAC458.04cdil1beforeI:complement(join(4737605..4738147,4738189..4738283,4738330..4738740,4738779..4738854))
SPAC458.07tfa1afterI:join(4744584..4744690,4744733..4744828,4744870..4745011,4745140..4746099)
SPAC458.07tfa1beforeI:join(4744584..4744828,4744870..4745011,4745140..4746099)
SPAC4A8.10afterI:join(2564279..2564306,2564471..2566800)
SPAC4A8.10beforeI:2564629..2566800
SPAC4D7.02cafterI:complement(join(5352606..5353425,5353557..5353672))
SPAC4D7.02cbeforeI:complement(join(5352606..5353449,5353557..5353672))
SPAC4D7.07cafterI:complement(5361908..5363713)
SPAC4D7.07cbeforeI:complement(5361908..5363710)
SPAC4D7.09tif223afterI:join(5367548..5367696,5367821..5368091,5368218..5368659,5368701..5368843,5368915..5369286)
SPAC4D7.09tif223beforeI:join(5367548..5367696,5367821..5368091,5368188..5368659,5368701..5368843,5368915..5369286)
SPAC4F8.06afterI:complement(2668334..2668822)
SPAC4F8.06beforeI:complement(2668334..2668774)
SPAC4G9.20cafterI:complement(join(2288689..2289546,2289948..2289986))
SPAC4G9.20cbeforeI:complement(join(2288689..2289546,2289647..2289697))
SPAC4H3.06afterI:join(3837431..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.06beforeI:join(3837449..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.07cafterI:complement(join(3838713..3838770,3838837..3839056,3839106..3839157,3839282..3839380))
SPAC4H3.07cbeforeI:complement(join(3838713..3838770,3838837..3839056,3839106..3839157,3839195..3839380))
SPAC57A10.04mug10afterI:join(1370179..1370394,1370458..1371276)
SPAC57A10.04mug10beforeI:join(1370197..1370394,1370458..1371276)
SPAC630.14ctup12afterI:complement(join(374683..375830,376094..376446,376844..376931,376993..377200))
SPAC630.14ctup12beforeI:complement(join(374683..375830,376094..376446,376844..376931,376993..377164))
SPAC631.02afterI:2107940..2110123
SPAC631.02beforeI:join(2107470..2107515,2107860..2110123)
SPAC637.09afterI:4555399..4557294
SPAC637.09beforeI:4555423..4557294
SPAC664.02carp8afterI:complement(join(1704981..1706291,1706359..1706568,1706691..1706879,1706928..1707105,1707150..1707250))
SPAC664.02carp8beforeI:complement(join(1704981..1706291,1706359..1706568,1706691..1706879,1706928..1707080))
SPAC664.03afterI:join(1708822..1708824,1708862..1710229)
SPAC664.03beforeI:join(1708822..1708824,1708859..1710229)
SPAC688.03cafterI:complement(join(3114616..3114973,3115103..3115326))
SPAC688.03cbeforeI:complement(join(3114616..3114973,3115103..3115317,3115401..3115442))
SPAC688.14set13afterI:join(3141463..3141603,3141652..3142329,3142396..3142667,3142719..3143034)
SPAC688.14set13beforeI:join(3141484..3141603,3141652..3142329,3142396..3142667,3142719..3143034)
SPAC6B12.07cafterI:complement(2421791..2423203)
SPAC6B12.07cbeforeI:complement(2421791..2423161)
SPAC6C3.04cit1afterI:join(2327861..2327862,2328647..2330096)
SPAC6C3.04cit1beforeI:2328675..2330096
SPAC6G10.08idp1afterI:3231536..3232855
SPAC6G10.08idp1beforeI:3231599..3232855
SPAC6G9.03cmug183afterI:complement(join(3246488..3246912,3246957..3247580,3247626..3247707))
SPAC6G9.03cmug183beforeI:complement(join(3246488..3246912,3246957..3247590))
SPAC6G9.08ubp6afterI:3259701..3261107
SPAC6G9.08ubp6beforeI:3259704..3261107
SPAC750.01afterI:5555791..5556768
SPAC750.01beforeI:5555716..5556768
SPAC7D4.05afterI:complement(join(2629373..2629819,2629909..2629985,2630021..2630183))
SPAC7D4.05beforeI:complement(join(2629373..2629819,2629909..2629985,2630030..2630183))
SPAC806.04cafterI:complement(join(241426..241537,241589..241709,241757..242815,242917..242941))
SPAC806.04cbeforeI:complement(join(241426..241537,241589..241693,241735..242815,242917..242941))
SPAC806.06cafterI:complement(245304..246410)
SPAC806.06cbeforeI:complement(245304..246401)
SPAC806.08cmod21afterI:complement(join(248680..250549,250607..250770))
SPAC806.08cmod21beforeI:complement(248680..250536)
SPAC821.07cmoc3afterI:complement(991752..993278)
SPAC821.07cmoc3beforeI:complement(991752..993245)
SPAC823.09cafterI:complement(join(2594633..2594734,2594792..2594913,2594966..2595693,2595734..2595819))
SPAC823.09cbeforeI:complement(join(2594777..2594913,2594966..2595693,2595734..2595819))
SPAC869.11cat1afterI:complement(5489385..5491148)
SPAC869.11cat1beforeI:complement(5489385..5491127)
SPAC8C9.11afterI:join(3659132..3659191,3659271..3659420,3659527..3659571)
SPAC8C9.11beforeI:join(3659132..3659191,3659271..3659453)
SPAC9.12catp12afterI:complement(join(1487131..1487237,1487287..1488055))
SPAC9.12catp12beforeI:complement(join(1487131..1487225,1487287..1488055))
SPAC959.05cafterI:complement(join(3395685..3397327,3397383..3397638))
SPAC959.05cbeforeI:complement(join(3395685..3397327,3397383..3397579,3397681..3397852,3398029..3398701))
SPAC959.09capc5afterI:complement(join(3401279..3401424,3401471..3401771,3401818..3401913,3401961..3402087,3402138..3402905,3402956..3403049,3403136..3403195,3403240..3403576,3403625..3403729,3403791..3403991))
SPAC959.09capc5beforeI:complement(join(3401279..3401424,3401471..3401771,3401818..3401913,3401961..3402087,3402138..3402905,3402956..3403049,3403136..3403195,3403240..3403576,3403625..3403729,3403791..3403970))
SPAC977.04afterI:34349..34816
SPAC977.04beforeI:34298..34816
SPACUNK4.17afterI:complement(2873032..2874252)
SPACUNK4.17beforeI:complement(2873032..2874249)
SPAP27G11.05cvps41afterI:complement(join(1615930..1616168,1616214..1618127,1618191..1618349,1618391..1618532,1618583..1618744))
SPAP27G11.05cvps41beforeI:complement(join(1615930..1618127,1618191..1618349,1618391..1618532,1618583..1618744))
SPAPB17E12.06afterI:join(1276673..1276846,1276937..1276986,1277041..1277108,1277169..1277270,1277313..1277419,1277458..1277751)
SPAPB17E12.06beforeI:join(1276673..1276850,1276937..1277021,1277023..1277108,1277169..1277270,1277313..1277419,1277458..1277751)
SPAPB18E9.02cppk18afterI:complement(join(3976370..3980195,3980559..3980689))
SPAPB18E9.02cppk18beforeI:complement(join(3976370..3980189,3980559..3980689))
SPAPB1A10.05afterI:1867135..1868019
SPAPB1A10.05beforeI:1867162..1868019
SPAPB1A10.08afterI:join(1876259..1876886,1876959..1877581)
SPAPB1A10.08beforeI:join(1876271..1876886,1876959..1877581)
SPAPB1A10.15arv1afterI:join(1892554..1892640,1892926..1893060,1893116..1893694)
SPAPB1A10.15arv1beforeI:join(1892554..1892640,1892926..1893060,1893098..1893694)
SPAPB1E7.06ceme1afterI:complement(join(3297520..3299548,3299633..3299724,3299781..3299867))
SPAPB1E7.06ceme1beforeI:complement(join(3297520..3299548,3299633..3299724,3299772..3299867))
SPAPB24D3.03afterI:2952416..2953642
SPAPB24D3.03beforeI:2952485..2953642
SPAPYUG7.03cmid2afterI:complement(4749139..4751259)
SPAPYUG7.03cmid2beforeI:complement(4749139..4751253)
SPBC106.04ada1afterII:join(380390..380560,380624..382948)
SPBC106.04ada1beforeII:join(380228..380265,380383..380560,380624..382948)
SPBC106.15idi1afterII:join(406868..406991,407056..407394,407451..407677)
SPBC106.15idi1beforeII:join(406874..406991,407056..407394,407451..407677)
SPBC1198.07cafterII:complement(join(185289..186535,186594..186675))
SPBC1198.07cbeforeII:complement(join(185289..186535,186594..186870))
SPBC1198.08afterII:join(187424..187455,187581..188979)
SPBC1198.08beforeII:join(187430..187455,187581..188979)
SPBC11B10.01alg2afterII:join(1486152..1486236,1486284..1486400,1486472..1486925,1487074..1487938)
SPBC11B10.01alg2beforeII:join(1486152..1486236,1486284..1486400,1486472..1486925,1487059..1487938)
SPBC11B10.10cpht1afterII:complement(1502642..1503157)
SPBC11B10.10cpht1beforeII:complement(1502642..1503064)
SPBC11C11.01afterII:join(3344613..3344676,3344730..3344788,3344833..3344915,3344958..3345058,3345098..3345531,3345579..3345757,3345808..3346288)
SPBC11C11.01beforeII:join(3344613..3344676,3344730..3344788,3344833..3345531,3345579..3345757,3345808..3346288)
SPBC11C11.04calp1afterII:complement(join(3353145..3353508,3353551..3353768,3353815..3353944,3353993..3354375,3354415..3355401,3355446..3356534,3356579..3356725))
SPBC11C11.04calp1beforeII:complement(join(3353145..3353508,3353551..3353768,3353815..3353950,3353993..3354375,3354415..3355401,3355446..3356534,3356579..3356725))
SPBC1289.12usp109afterII:join(4405971..4405987,4406027..4407107)
SPBC1289.12usp109beforeII:4406049..4407107
SPBC12D12.07ctrx2afterII:complement(join(2317984..2318251,2318334..2318467))
SPBC12D12.07ctrx2beforeII:complement(join(2317984..2318251,2318334..2318431))
SPBC1347.05cafterII:complement(join(4069285..4069334,4069390..4070366,4070422..4070510,4070585..4070665))
SPBC1347.05cbeforeII:complement(join(4069285..4069334,4069390..4070366,4070422..4070540))
SPBC1347.07rex2afterII:join(4073591..4073765,4073871..4073951,4074033..4074118,4074238..4074303,4074366..4074716)
SPBC1347.07rex2beforeII:join(4073912..4073951,4074033..4074118,4074238..4074303,4074366..4074716)
SPBC13E7.04atp16afterII:3046852..3047355
SPBC13E7.04atp16beforeII:3046873..3047355
SPBC13E7.10cbrf1afterII:complement(join(3056760..3058060,3058218..3058330,3058392..3058456))
SPBC13E7.10cbrf1beforeII:complement(join(3056760..3058060,3058218..3058330,3058392..3058474,3058584..3058589))
SPBC13G1.04cafterII:complement(join(3732806..3732930,3732994..3733777))
SPBC13G1.04cbeforeII:complement(join(3732806..3732930,3732994..3733762))
SPBC13G1.12did2afterII:join(3752361..3752376,3752417..3752436,3752477..3752554,3752757..3752903,3752946..3753014,3753070..3753141,3753194..3753394)
SPBC13G1.12did2beforeII:join(3752588..3752635,3752757..3752903,3752946..3753014,3753070..3753141,3753194..3753394)
SPBC146.11cmug97afterII:complement(1020296..1021333)
SPBC146.11cmug97beforeII:complement(1020296..1021303)
SPBC146.12coq6afterII:1022416..1023855
SPBC146.12coq6beforeII:1022455..1023855
SPBC14C8.11cafterII:complement(2222650..2223129)
SPBC14C8.11cbeforeII:complement(2222650..2223060)
SPBC15C4.02afterII:join(2238826..2239248,2239362..2240344,2240437..2240704)
SPBC15C4.02beforeII:join(2238671..2238895,2238940..2239248,2239362..2240344,2240437..2240704)
SPBC15D4.02afterII:3012934..3014577
SPBC15D4.02beforeII:3013318..3014577
SPBC1604.04afterII:complement(join(3924320..3924389,3924483..3925172,3925219..3925310))
SPBC1604.04beforeII:complement(join(3924320..3925172,3925219..3925310))
SPBC1652.01afterII:4253265..4254440
SPBC1652.01beforeII:4253280..4254440
SPBC1685.16vma9afterII:join(501305..501396,501685..501735,501802..501862)
SPBC1685.16vma9beforeII:join(501695..501735,501802..501862)
SPBC16C6.03cafterII:complement(join(4332356..4332454,4332541..4332687,4332746..4333123))
SPBC16C6.03cbeforeII:complement(4332698..4333123)
SPBC16D10.04cdna2afterII:complement(join(3592359..3592685,3592733..3593447,3593496..3596289,3596335..3596692))
SPBC16D10.04cdna2beforeII:complement(join(3592359..3592685,3592733..3593447,3593496..3596292,3596335..3596692))
SPBC16E9.19afterII:join(1921511..1921633,1921865..1922173)
SPBC16E9.19beforeII:1921868..1922173
SPBC1703.05afterII:join(2924013..2924078,2924233..2925201)
SPBC1703.05beforeII:join(2924037..2924078,2924233..2925201)
SPBC1706.01tea4afterII:588729..591194
SPBC1706.01tea4beforeII:588765..591194
SPBC1709.03afterII:join(1102314..1102374,1102420..1103075,1103114..1103683)
SPBC1709.03beforeII:join(1102449..1103075,1103114..1103683)
SPBC1709.16cafterII:complement(join(1130896..1131078,1131152..1131460,1131516..1131823,1131979..1132072))
SPBC1709.16cbeforeII:complement(join(1130896..1131078,1131152..1131460,1131516..1131823,1131979..1132036))
SPBC1711.09cafterII:complement(join(2150960..2151760,2151809..2151838))
SPBC1711.09cbeforeII:complement(join(2150960..2151760,2151827..2151838))
SPBC1734.03afterII:1064200..1066401
SPBC1734.03beforeII:1064341..1066401
SPBC1773.08comh4afterII:complement(297771..299093)
SPBC1773.08comh4beforeII:complement(297771..298946)
SPBC1778.05cafterII:complement(join(3105116..3105530,3105652..3105719))
SPBC1778.05cbeforeII:complement(3105116..3105412)
SPBC1778.10cppk21afterII:complement(join(3114461..3115394,3115445..3115615,3115679..3115788,3115843..3116079,3116183..3116386))
SPBC1778.10cppk21beforeII:complement(join(3114461..3115394,3115445..3115615,3115679..3115788,3115843..3116079,3116183..3116383))
SPBC17A3.03cafterII:complement(join(1404360..1404567,1404619..1404695,1404757..1404842,1404974..1405466))
SPBC17A3.03cbeforeII:complement(join(1404360..1404567,1404619..1404695,1404757..1404842,1404974..1405394))
SPBC17D1.07cafterII:complement(join(3340725..3340899,3340986..3341441,3341488..3341950,3341992..3342226,3342272..3342470,3342510..3343408,3343452..3343659,3343704..3343918))
SPBC17D1.07cbeforeII:complement(join(3340725..3340899,3340986..3341441,3341488..3341950,3341992..3342226,3342272..3343408,3343452..3343659,3343704..3343918))
SPBC18E5.12cmas2afterII:complement(2096528..2098036)
SPBC18E5.12cmas2beforeII:complement(2096528..2098012)
SPBC18E5.14cafterII:complement(2089944..2090327)
SPBC18E5.14cbeforeII:complement(join(2089944..2090330,2090431..2090556,2090620..2090943))
SPBC18H10.09afterII:join(1786332..1786414,1786478..1787607,1787643..1787917)
SPBC18H10.09beforeII:join(1786596..1787607,1787643..1787917)
SPBC18H10.10csaf4afterII:complement(join(1788047..1788436,1788492..1788740,1788786..1789046))
SPBC18H10.10csaf4beforeII:complement(join(1788047..1788436,1788492..1788740,1788786..1789031))
SPBC18H10.19atg14afterII:join(1806262..1806498,1806729..1806899,1806964..1807980)
SPBC18H10.19atg14beforeII:1807057..1807980
SPBC19C7.11afterII:join(2843141..2843276,2843334..2843585,2843628..2844061,2844101..2845579)
SPBC19C7.11beforeII:2843141..2845579
SPBC21.03cafterII:complement(join(3217985..3218424,3218467..3218491,3218641..3218651,3218704..3218947))
SPBC21.03cbeforeII:complement(join(3217985..3218424,3218462..3218491,3218580..3218651,3218704..3218947))
SPBC211.01rsm10afterII:join(3870293..3870372,3870439..3871045)
SPBC211.01rsm10beforeII:join(3870305..3870372,3870439..3871045)
SPBC215.06cafterII:complement(join(4038119..4038639,4038731..4038752))
SPBC215.06cbeforeII:complement(4038119..4038655)
SPBC215.12cwf10afterII:join(4052601..4052626,4052671..4053030,4053069..4053420,4053480..4055696)
SPBC215.12cwf10beforeII:join(4052604..4052626,4052671..4053030,4053069..4053420,4053480..4055696)
SPBC21C3.03afterII:join(3802197..3802829,3802885..3804330)
SPBC21C3.03beforeII:join(3802251..3802829,3802885..3804330)
SPBC21D10.11cnfs1afterII:2422760..2424265
SPBC21D10.11cnfs1beforeII:2422769..2424265
SPBC25B2.07cmug164afterII:complement(2609038..2610591)
SPBC25B2.07cmug164beforeII:complement(2609038..2610543)
SPBC25D12.06afterII:3725370..3727127
SPBC25D12.06beforeII:3725430..3727127
SPBC27B12.01cmmm1afterII:complement(join(1321952..1322042,1322087..1322295,1322459..1323100))
SPBC27B12.01cmmm1beforeII:complement(join(1321952..1322042,1322087..1322295,1322360..1323100))
SPBC27B12.02afterII:1323731..1324069
SPBC27B12.02beforeII:1323740..1324069
SPBC27B12.05afterII:join(1328794..1328838,1328891..1328999,1329082..1329415,1329458..1329555,1329597..1329717,1329765..1329984,1330039..1330467,1330515..1330607)
SPBC27B12.05beforeII:join(1329204..1329415,1329458..1329555,1329597..1329720,1329765..1329984,1330039..1330467,1330515..1330607)
SPBC29A10.04psm1afterII:join(2540743..2544408,2544455..2544475)
SPBC29A10.04psm1beforeII:2540743..2544444
SPBC29A10.06cafterII:complement(join(2547516..2547812,2547869..2548072,2548180..2548575))
SPBC29A10.06cbeforeII:complement(join(2547516..2547812,2547869..2548072,2548180..2548566))
SPBC29A10.17afterII:join(2573829..2573870,2573911..2573945,2573998..2574093,2574137..2574214,2574277..2574487)
SPBC29A10.17beforeII:join(2573866..2573903,2573998..2574093,2574137..2574214,2574277..2574487)
SPBC2A9.07cafterII:complement(join(2959078..2959129,2959172..2959780,2959879..2959927,2960019..2960049))
SPBC2A9.07cbeforeII:complement(2959078..2959902)
SPBC2A9.08csec22afterII:complement(join(2961668..2961972,2962036..2962199,2962265..2962409,2962619..2962652))
SPBC2A9.08csec22beforeII:complement(join(2961668..2961972,2962036..2962199,2962265..2962409,2962517..2962532))
SPBC2F12.10afterII:complement(1719551..1720477)
SPBC2F12.10beforeII:complement(1719551..1720663)
SPBC2G2.08ade9afterII:join(3448967..3449103,3449371..3452152)
SPBC2G2.08ade9beforeII:join(3448976..3449103,3449371..3452152)
SPBC2G2.12hrs1afterII:3457165..3458856
SPBC2G2.12hrs1beforeII:3457240..3458856
SPBC2G2.13cafterII:complement(join(3458998..3459104,3459142..3459194,3459234..3459722,3459915..3460234))
SPBC2G2.13cbeforeII:complement(join(3458998..3459104,3459142..3459194,3459234..3459722,3459837..3460234))
SPBC30D10.08mgm101afterII:complement(3084534..3085346)
SPBC30D10.08mgm101beforeII:complement(3084534..3085337)
SPBC30D10.16pha2afterII:complement(join(3064223..3064932,3064978..3065032,3065178..3065231))
SPBC30D10.16pha2beforeII:complement(join(3064223..3065032,3065178..3065231))
SPBC31E1.04pep12afterII:join(245718..246297,246428..246639)
SPBC31E1.04pep12beforeII:join(245718..246297,246428..246585,246640..246855)
SPBC31F10.09cnut2afterII:complement(3765847..3766281)
SPBC31F10.09cnut2beforeII:complement(3765847..3766263)
SPBC31F10.16afterII:join(3785848..3785879,3785929..3786055,3786201..3787820,3787876..3788046)
SPBC31F10.16beforeII:join(3785848..3785879,3785929..3786055,3786111..3787820,3787876..3788046)
SPBC336.10ctif512afterII:complement(2758761..2759270)
SPBC336.10ctif512beforeII:complement(2758761..2759234)
SPBC337.12afterII:join(1052080..1052122,1052339..1052368,1052414..1053471)
SPBC337.12beforeII:join(1052080..1052122,1052339..1052368,1052411..1053471)
SPBC354.06mrps16afterII:join(555893..555969,556399..556579,556846..556878)
SPBC354.06mrps16beforeII:join(555893..555969,556399..556612)
SPBC354.07cafterII:complement(join(558335..559225,559273..559474,560003..560028,560151..560163,560231..560292))
SPBC354.07cbeforeII:complement(join(558335..559225,559273..559474,559942..560028,560151..560163,560231..560246))
SPBC36B7.06cmug20afterII:complement(join(2392551..2392604,2392659..2392926,2392970..2393103))
SPBC36B7.06cmug20beforeII:complement(join(2392551..2392926,2392970..2393103))
SPBC3E7.04cafterII:complement(join(2662488..2662650,2662697..2662759,2662838..2663575,2663638..2663774,2663828..2663941,2664036..2664236,2664476..2664652))pseudo->codingpers. comm. Val Wood
SPBC3E7.04cbeforeII:complement(join(2662663..2662759,2662838..2663575,2663638..2663774,2663828..2663941,2664009..2664173))pseudo->codingpers. comm. Val Wood
SPBC428.01cnup107afterII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..442032))
SPBC428.01cnup107beforeII:complement(join(439274..441187,441229..441337,441392..441484,441541..441667,441718..441751,441793..441840,441916..441975))
SPBC428.02ceca39afterII:complement(442631..443914)
SPBC428.02ceca39beforeII:complement(442631..443773)
SPBC428.06crxt2afterII:complement(join(451989..452416,452597..452705,452755..452879,452930..452964,453014..453039))
SPBC428.06crxt2beforeII:complement(join(451989..452416,452597..452705,452749..452879,452930..452964,453014..453039))
SPBC428.10afterII:461024..463561
SPBC428.10beforeII:461306..463561
SPBC428.20calp6afterII:complement(join(481076..481552,481606..483437,483478..483539,483579..483706))
SPBC428.20calp6beforeII:complement(join(481076..481552,481639..483437,483478..483539,483579..483706))
SPBC4F6.13cafterII:complement(2714424..2716646)
SPBC4F6.13cbeforeII:complement(2714424..2716634)
SPBC530.05afterII:796583..798871
SPBC530.05beforeII:796640..798871
SPBC530.12cpdf1afterII:complement(821281..823149)
SPBC530.12cpdf1beforeII:complement(821281..823092)
SPBC530.13lsc1afterII:join(824374..824534,824579..824660,824874..825011,825065..825188,825245..825747)
SPBC530.13lsc1beforeII:join(824374..824534,824579..824660,824874..824999,825083..825188,825245..825747)
SPBC56F2.11met6afterII:complement(join(4089279..4089318,4089361..4090826))
SPBC56F2.11met6beforeII:complement(4089357..4090826)
SPBC646.15cafterII:complement(join(955201..955214,955257..955369,955435..955992,956037..956301,956344..956488))
SPBC646.15cbeforeII:complement(join(955128..955210,955257..955369,955435..955992,956070..956301,956344..956488))
SPBC651.06mug166afterII:1247484..1248188PMID:21270388
SPBC651.06mug166beforeII:join(1247484..1248086,1248158..1248241,1248381..1248481,1248692..1248921,1248991..1249073,1249135..1249617)PMID:21270388
SPBC660.08afterII:join(209802..209825,209922..211172)
SPBC660.08beforeII:209985..211172
SPBC660.11tcg1afterII:join(215144..215355,215606..215807,215861..216496)
SPBC660.11tcg1beforeII:join(215147..215355,215606..215807,215861..216496)
SPBC713.11cpmp3afterII:complement(join(887999..888142,888513..888542))
SPBC713.11cpmp3beforeII:complement(887999..888151)
SPBC725.10afterII:join(1224974..1225441,1225969..1225995)
SPBC725.10beforeII:1224974..1225462
SPBC776.05afterII:join(3182005..3182184,3182236..3182507,3182584..3182653,3182692..3182816,3182860..3183120,3183169..3183368,3183418..3183521)
SPBC776.05beforeII:join(3182005..3182184,3182236..3182507,3182584..3182653,3182692..3182816,3182860..3183120,3183166..3183368,3183418..3183521)
SPBC776.06cafterII:complement(join(3183676..3183771,3183827..3185602))
SPBC776.06cbeforeII:complement(3183803..3185599)
SPBC776.14plh1afterII:join(3204448..3205431,3205477..3205546,3205601..3205628,3205673..3205700,3205749..3205832,3205872..3206111,3206153..3206299,3206345..3206551,3206601..3206668,3206717..3206759)
SPBC776.14plh1beforeII:join(3204448..3205431,3205477..3205568,3205673..3205700,3205749..3205811,3205872..3206111,3206153..3206299,3206345..3206551,3206601..3206668,3206717..3206759)
SPBC776.17afterII:join(3211353..3211701,3211750..3212117)
SPBC776.17beforeII:3211353..3212117
SPBC800.02whi5afterII:join(253148..253231,253310..253984)
SPBC800.02whi5beforeII:join(253148..253231,253352..253984)
SPBC83.01ucp8afterII:join(1510581..1510730,1510881..1511004,1511050..1513235,1513334..1513363)
SPBC83.01ucp8beforeII:join(1510581..1510730,1510881..1511004,1511050..1513430)
SPBC83.06cafterII:complement(1520212..1520490)
SPBC83.06cbeforeII:complement(1520212..1520391)
SPBC83.11afterII:join(1529220..1529314,1529377..1530631)
SPBC83.11beforeII:join(1529291..1529340,1529377..1530631)
SPBC887.02afterII:join(3541262..3541391,3541503..3543352,3543406..3543516)
SPBC887.02beforeII:join(3541262..3541391,3541503..3543376)
SPBC887.04club1afterII:complement(join(3546238..3548174,3548220..3548391,3548458..3548505))
SPBC887.04club1beforeII:complement(join(3546238..3548159,3548220..3548391,3548458..3548505))
SPBC887.07mrpl38afterII:join(3551318..3551389,3551433..3551490,3551554..3551834)
SPBC887.07mrpl38beforeII:join(3551348..3551389,3551433..3551490,3551554..3551834)
SPBC902.05cidh2afterII:complement(join(492162..492268,492319..493083,493238..493286,493334..493480,493584..493655))
SPBC902.05cidh2beforeII:complement(join(492162..492268,492319..493083,493238..493286,493334..493477,493584..493655))
SPBC9B6.06mrpl10afterII:1822936..1823700
SPBC9B6.06mrpl10beforeII:1823038..1823700
SPBP18G5.02afterII:join(2401753..2402237,2402275..2403041,2403138..2403394)
SPBP18G5.02beforeII:join(2401753..2402237,2402275..2403394)
SPBP19A11.07cafterII:complement(join(2868453..2868779,2868820..2868986,2869031..2869250,2869286..2869888,2869941..2870029,2870072..2870193,2870244..2870695,2870733..2870799,2870852..2870871))
SPBP19A11.07cbeforeII:complement(join(2868453..2868779,2868820..2868986,2869031..2869250,2869322..2869888,2869941..2870029,2870072..2870193,2870244..2870695,2870733..2870799,2870852..2870871))
SPBP23A10.16sdh4afterII:2036100..2036579
SPBP23A10.16sdh4beforeII:2036019..2036579
SPBP35G2.06cnup131afterII:complement(join(973049..974181,974223..974577,974617..975002,975044..975137,975172..976632))
SPBP35G2.06cnup131beforeII:complement(join(973049..974181,974223..974577,974647..975002,975044..975137,975172..976632))
SPBP35G2.08cair1afterII:complement(join(979529..980152,980208..980309,980359..980580))
SPBP35G2.08cair1beforeII:complement(join(979529..980152,980208..980309,980359..980574))
SPBP35G2.14afterII:992872..996069
SPBP35G2.14beforeII:992887..996069
SPBP4H10.15afterII:join(2903085..2905816,2905857..2905881)
SPBP4H10.15beforeII:join(2903103..2905816,2905857..2905881)
SPBP8B7.05cafterII:complement(3641216..3642202)
SPBP8B7.05cbeforeII:complement(3641216..3641950)
SPBP8B7.10cafterII:complement(join(3650627..3651029,3651174..3651716,3651783..3651820))
SPBP8B7.10cbeforeII:complement(join(3650627..3651086,3651174..3651716,3651783..3651820))
SPBPB21E7.02cafterII:complement(join(60553..61107,61119..61205))pseudo->codingpers. comm. Val Wood
SPBPB21E7.02cbeforeII:complement(join(60553..61094,61286..61379))pseudo->codingpers. comm. Val Wood
SPBPB2B2.05afterII:4466754..4467515
SPBPB2B2.05beforeII:join(4466723..4466725,4466805..4467515)
SPCC1183.01sec15afterIII:join(591852..591884,591925..592086,592134..592253,592353..592791,592832..594290,594342..594435)
SPCC1183.01sec15beforeIII:join(591852..591884,591925..592086,592134..592253,592353..592791,592832..594435)
SPCC1183.05clig4afterIII:complement(join(599520..599601,599654..600061,600101..600209,600247..600378,600416..600679,600728..601885,601940..602025,602065..602161,602227..602326,602367..602429,602517..602527,602572..602803))
SPCC1183.05clig4beforeIII:complement(join(599310..599379,599654..600061,600101..600209,600247..600378,600416..600679,600728..601885,601940..602161,602227..602326,602367..602429,602558..602803))
SPCC1183.09cpmp31afterIII:complement(join(613283..613305,613356..613564,613628..613725))
SPCC1183.09cpmp31beforeIII:complement(join(613345..613564,613628..613725))
SPCC1235.03afterIII:join(179039..179065,179105..180586)
SPCC1235.03beforeIII:179387..180586
SPCC1235.10csec6afterIII:complement(join(196809..198830,198905..198970,199029..199133,199196..199223,199279..199316))
SPCC1235.10csec6beforeIII:complement(join(196809..198830,199029..199133,199196..199223,199279..199316))
SPCC1259.12cafterIII:complement(join(1056598..1056737,1056787..1057191,1057239..1057880,1057925..1058213))
SPCC1259.12cbeforeIII:complement(join(1056495..1056590,1056685..1056737,1056787..1057191,1057239..1057880,1057925..1058189))
SPCC126.09afterIII:join(2131761..2131780,2132309..2133458)
SPCC126.09beforeIII:2132202..2133458
SPCC126.15csec65afterIII:complement(join(2142679..2143055,2143109..2143373))
SPCC126.15csec65beforeIII:complement(join(2142679..2143055,2143109..2143331))
SPCC1442.12pps1afterIII:join(1789596..1789717,1789805..1790036,1790320..1790683,1790767..1790771)
SPCC1442.12pps1beforeIII:join(1789596..1789717,1789805..1790036,1790320..1790718)
SPCC1450.08cwtf16afterIII:complement(join(1739338..1739444,1739495..1739557,1739598..1739789,1739835..1740047,1740097..1740342,1740510..1740648))
SPCC1450.08cwtf16beforeIII:complement(join(1739338..1739789,1739835..1740047,1740097..1740342,1740510..1740648))
SPCC1450.15afterIII:join(1761207..1761248,1761635..1763077)
SPCC1450.15beforeIII:join(1761516..1761584,1761635..1763077)
SPCC1450.16cafterIII:complement(join(1763350..1763471,1763523..1765038))
SPCC1450.16cbeforeIII:complement(1763497..1765038)
SPCC162.05coq3afterIII:complement(1578220..1579044)
SPCC162.05coq3beforeIII:complement(1578220..1579035)
SPCC1620.12cafterIII:complement(join(2167799..2169715,2169781..2169786))
SPCC1620.12cbeforeIII:complement(2167799..2169586)
SPCC1672.04cafterIII:complement(join(568700..568953,569021..569089,569524..569539))
SPCC1672.04cbeforeIII:complement(join(568700..568953,569021..569072))
SPCC16C4.15rml2afterIII:join(695922..696083,696157..697083)
SPCC16C4.15rml2beforeIII:join(696054..696083,696157..697083)
SPCC1739.03hrr1afterIII:join(2029655..2031992,2032034..2032495,2032538..2032690,2032739..2032785)
SPCC1739.03hrr1beforeIII:join(2029655..2031992,2032034..2032495,2032538..2032785)
SPCC1739.04cafterIII:complement(join(2033032..2033307,2033350..2033545,2033597..2033874,2033932..2034006))
SPCC1739.04cbeforeIII:complement(join(2033032..2033545,2033597..2033874,2033932..2034006))
SPCC1795.08cvid21afterIII:join(981120..981128,981211..981491,981549..984243)
SPCC1795.08cvid21beforeIII:join(981120..981128,981211..981491,981576..984243)
SPCC18.06ccaf1afterIII:complement(1965839..1966846)
SPCC18.06ccaf1beforeIII:complement(1965839..1966837)
SPCC18.15afterIII:join(1983372..1983547,1983594..1983641,1984126..1984882)
SPCC18.15beforeIII:join(1983372..1983547,1984126..1984882)
SPCC1884.02nic1afterIII:43845..45071
SPCC1884.02nic1beforeIII:43854..45071
SPCC18B5.07cnup61afterIII:complement(join(731472..732703,732752..733050,733103..733221))
SPCC18B5.07cnup61beforeIII:complement(join(731472..733050,733103..733221))
SPCC1919.14cbdp1afterIII:complement(join(2237547..2237788,2237833..2237980,2238019..2238668,2238719..2239210,2239256..2239286))
SPCC1919.14cbdp1beforeIII:complement(join(2237547..2237788,2237833..2237980,2238019..2238668,2238719..2239202))
SPCC23B6.01cafterIII:complement(join(1264730..1266005,1266340..1266417,1266512..1266543,1266671..1266717,1266821..1266827))
SPCC23B6.01cbeforeIII:complement(join(1264730..1266005,1266340..1266417,1266512..1266543,1266671..1266754))
SPCC23B6.02cafterIII:complement(join(1268158..1268172,1268244..1268564))
SPCC23B6.02cbeforeIII:complement(join(1268069..1268172,1268249..1268564))
SPCC24B10.15afterIII:927990..929387
SPCC24B10.15beforeIII:927999..929387
SPCC24B10.16cafterIII:complement(929755..930129)
SPCC24B10.16cbeforeIII:complement(929755..930087)
SPCC24B10.19cafterIII:complement(join(932963..934284,934764..934923))
SPCC24B10.19cbeforeIII:complement(join(932963..934284,934401..934446))
SPCC285.07cwtf18afterIII:complement(join(1807004..1807131,1807182..1807244,1807285..1807476,1807513..1807726,1807760..1807836,1807885..1808157,1808396..1808534))
SPCC285.07cwtf18beforeIII:complement(join(1807004..1807476,1807513..1807836,1807885..1808157,1808396..1808534))
SPCC330.10pcm1afterIII:129931..131013
SPCC330.10pcm1beforeIII:129844..131013
SPCC338.10ccox5afterIII:1357866..1358426
SPCC338.10ccox5beforeIII:1357902..1358426
SPCC417.11cafterIII:complement(1698190..1699506)
SPCC417.11cbeforeIII:complement(1698190..1699497)
SPCC417.12afterIII:1699682..1701301
SPCC417.12beforeIII:1699739..1701301
SPCC4B3.09cafterIII:join(1160510..1160544,1160594..1161080)
SPCC4B3.09cbeforeIII:join(1160411..1160544,1160594..1161080)
SPCC550.14vgl1afterIII:1217142..1221017
SPCC550.14vgl1beforeIII:1217178..1221017
SPCC553.05cafterIII:complement(join(297354..297655,297705..297950,298119..298194))SPD:51/51D01
SPCC553.05cwtf6beforeIII:complement(join(297140..297216,297266..297308,297384..297655,297705..297950,298119..298258))SPD:51/51D01
SPCC553.11cafterIII:join(281902..281936,281981..281986,282056..282137,282204..282410)
SPCC553.11cbeforeIII:join(281902..281936,282056..282137,282204..282410)
SPCC569.03afterIII:complement(join(2430334..2430776,2430840..2431524))
SPCC569.03beforeIII:complement(2430334..2431524)
SPCC584.14mug160afterIII:1518916..1520220
SPCC584.14mug160beforeIII:1518925..1520220
SPCC594.04cafterIII:complement(362699..363733)
SPCC594.04cbeforeIII:complement(362699..363715)
SPCC613.08afterIII:join(93146..93230,93285..93496,93618..94169)
SPCC613.08beforeIII:join(93017..93230,93285..93496,93618..94169)
SPCC63.03afterIII:join(837605..837658,837720..838933,838984..839404,839462..839591,839638..839657)
SPCC63.03beforeIII:join(837605..837658,837720..838933,838984..839404,839462..839701)
SPCC63.10csec59afterIII:complement(join(854651..855926,855984..856222))
SPCC63.10csec59beforeIII:complement(join(854651..855926,855984..856213))
SPCC645.02gep4afterIII:join(1229724..1230275,1230330..1230407)
SPCC645.02gep4beforeIII:1229724..1230290
SPCC663.02wtf14afterIII:join(1630438..1630567,1630639..1630863,1630913..1631164,1631205..1631267,1631331..1631350)
SPCC663.02wtf14beforeIII:join(1630438..1630567,1630639..1630863,1630913..1631226)
SPCC663.15cafterIII:complement(join(1660282..1662248,1662493..1662562))
SPCC663.15cbeforeIII:complement(1660282..1662255)
SPCC663.17wtf15afterIII:join(1632825..1632963,1633169..1633426,1633474..1633710,1633750..1633806,1633866..1633942)
SPCC663.17wtf15beforeIII:1632825..1633709
SPCC736.05wtf7afterIII:join(320608..320755,320964..321335,321387..321523)
SPCC736.05wtf7beforeIII:join(320617..320755,320964..321335,321387..321523)
SPCC757.04afterIII:join(50527..50552,50602..50626,50678..52537)
SPCC757.04beforeIII:join(50358..50552,50678..52537)
SPCC757.10vph2afterIII:join(68531..68953,69017..69235)
SPCC757.10vph2beforeIII:join(68612..68953,69017..69235)
SPCC777.02afterIII:join(1599182..1599195,1599267..1599291,1599374..1601173)
SPCC777.02beforeIII:join(1598981..1599054,1599267..1599291,1599374..1601173)
SPCC777.13vps35afterIII:join(1619556..1621163,1621204..1621317,1621361..1621710,1621765..1621822,1621870..1621944,1622032..1622337)
SPCC777.13vps35beforeIII:join(1619709..1621163,1621204..1621317,1621361..1621710,1621765..1621822,1621870..1621944,1622032..1622337)
SPCC790.03afterIII:join(2245960..2246125,2246172..2246448,2246603..2246915)
SPCC790.03beforeIII:join(2245969..2246125,2246172..2246448,2246603..2246915)
SPCC970.01rad16afterIII:complement(join(514906..515322,515363..515623,515669..515794,515837..516164,516204..516552,516602..516885,516936..517412,517459..517581,517635..517903))
SPCC970.01rad16beforeIII:complement(join(514906..515322,515363..515794,515837..516164,516204..516552,516602..516885,516936..517412,517459..517581,517635..517903))
SPCC970.09sec8afterIII:complement(join(492370..492784,492832..493062,493108..493549,493600..493738,493780..493954,494003..495612,495673..495722,495767..495926))
SPCC970.09sec8beforeIII:complement(join(492370..492784,492832..493549,493600..493738,493780..493954,494003..495612,495673..495722,495767..495926))
SPCC970.12mis18afterIII:complement(join(513931..514092,514167..514251,514293..514328,514377..514463,514511..514571,514617..514770))
SPCC970.12mis18beforeIII:complement(join(514122..514251,514293..514328,514377..514463,514511..514571,514617..514770))
SPCPB16A4.02cafterIII:complement(join(944872..945632,945671..945746,945797..945859,946141..946260))
SPCPB16A4.02cbeforeIII:complement(join(944872..945632,945671..945713,945797..945859,946141..946260))
SPAC1006.03cred1afterI:complement(join(5071212..5071417,5071462..5073188,5073389..5073449,5073728..5073872))intron donor correctedSPD:38/38H01
SPAC1006.03cbeforeI:complement(join(5071212..5071417,5071456..5073188,5073389..5073449,5073728..5073872))intron donor correctedSPD:38/38H01
SPBC2G2.09ccrs1afterII:complement(join(3452323..3452540,3452589..3452769,3452822..3452877,3452918..3453077,3453119..3453406))
SPBC2G2.09ccrs1beforeII:complement(join(3452323..3452540,3452589..3452769,3452922..3453077,3453119..3453406))
SPBC947.10dsc1afterII:complement(join(653091..653363,653432..655246))N-terminal extended to use upstream methioninepers. comm. E. Stewart
SPBC947.10dsc1beforeII:complement(join(653091..653363,653432..655189))N-terminal extended to use upstream methioninepers. comm. E. Stewart
SPAC11D3.11cafterI:complement(join(128025..129059,129103..129127,129172..129185))
SPAC11D3.11cbeforeI:complement(join(127165..129059,129103..129127,129172..129185))
SPAC13F5.07cafterI:complement(join(2184865..2185282,2185472..2185551))PMID:21270388
SPAC13F5.07cbeforeI:complement(2184865..2185182)PMID:21270388
SPAC18B11.05gpi18afterI:complement(join(308381..309719,309751..309806))PMID:21270388
SPAC18B11.05gpi18beforeI:complement(308381..309661)PMID:21270388
SPAC29A4.03cafterI:join(5142407..5142628,5142631..5143224)PMID:21270388
SPAC29A4.03cbeforeI:5142826..5143224PMID:21270388
SPAC3A11.03afterI:join(3466462..3466483,3466772..3467472,3467608..3467835)PMID:21270388
SPAC3A11.03beforeI:join(3466462..3466483,3466772..3467493)PMID:21270388
SPAC688.04cgst3afterI:complement(3116067..3116795)PMID:21270388
SPAC688.04cgst3beforeI:complement(3116067..3116744)PMID:21270388
SPAC688.11end4afterI:3135125..3138433PMID:21270388
SPAC688.11end4beforeI:3135155..3138433PMID:21270388
SPAC823.04afterI:join(2587729..2587897,2587952..2588028,2588031..2588143,2588182..2588620)PMID:21270388
SPAC823.04beforeI:join(2587729..2587897,2588106..2588620)PMID:21270388
SPACUNK4.14mdb1afterI:complement(join(2883184..2883489,2883542..2884783,2884840..2884932,2884987..2885220))PMID:21270388
SPACUNK4.14mdb1beforeI:complement(join(2883184..2883489,2883542..2884783,2884840..2884854))PMID:21270388
SPAPB17E12.14cafterI:complement(1286916..1288922)PMID:21270388
SPAPB17E12.14cbeforeI:complement(1286916..1288340)PMID:21270388
SPBC16H5.12cafterII:join(2274073..2274084,2274139..2274301,2274610..2274721,2274781..2276707)PMID:21270388
SPBC16H5.12cbeforeII:join(2274403..2274412,2274610..2274721,2274781..2276707)PMID:21270388
SPBC1709.12rid1afterII:join(1122828..1123246,1123385..1123532,1123601..1124133,1124183..1124285)PMID:21270388
SPBC1709.12rid1beforeII:join(1122828..1123246,1123385..1123532,1123601..1124137)PMID:21270388
SPBC1711.10cnpl4afterII:complement(join(2152462..2152575,2152627..2154144,2154207..2154287,2154333..2154335))PMID:21270388
SPBC1711.10cnpl4beforeII:complement(join(2152591..2154144,2154207..2154287,2154333..2154335))PMID:21270388
SPBC25H2.11cspt7afterII:join(3263377..3263950,3263992..3264191,3264246..3264284,3264337..3264438,3264481..3264619,3264667..3265910,3265950..3266093,3266137..3266351,3266397..3266718)PMID:21270388
SPBC25H2.11cspt7beforeII:join(3263377..3263950,3263992..3264191,3264337..3264438,3264481..3264619,3264667..3265910,3265950..3266093,3266137..3266351,3266397..3266718)PMID:21270388
SPBC29A10.17afterII:join(2573866..2573903,2573998..2574093,2574137..2574214,2574277..2574487)PMID:21270388
SPBC29A10.17beforeII:join(2574032..2574093,2574137..2574214,2574277..2574487)PMID:21270388
SPBC4F6.10vps901afterII:join(2708076..2709415,2709418..2709793)PMID:21270388
SPBC4F6.10vps901beforeII:2708076..2709689PMID:21270388
SPBP8B7.31afterII:join(3698333..3698414,3698473..3698724,3698800..3698919,3698973..3699037)PMID:21270388
SPBP8B7.31beforeII:join(3698333..3698414,3698473..3698724,3698800..3698999)PMID:21270388
SPCC1322.16phb2afterIII:join(1323844..1324147,1324355..1324621,1324678..1324746,1324796..1325022)PMID:21270388
SPCC1322.16phb2beforeIII:join(1323871..1324147,1324355..1324621,1324678..1324746,1324796..1325022)PMID:21270388
SPCC4G3.15cnot2afterIII:join(441589..441688,441749..442145,442214..442432,442492..442696)
SPCC4G3.15cnot2beforeIII:join(442039..442145,442214..442432,442492..442696)
SPCC622.17apn1afterIII:join(1435178..1435181,1435272..1435335,1435596..1435850,1435923..1436649)added 2 5’ exonsPMID:21193357
SPCC622.17apn1beforeIII:join(1435549..1435850,1435923..1436649)added 2 5’ exonsPMID:21193357
SPAC22G7.04ubp13afterI:join(732880..732897,732942..733040,733085..733251,733369..733495,733536..734113,734151..735457,735495..736465)pers. comm. James Iben
SPAC22G7.04ubp13beforeI:join(732880..732897,732942..733040,733085..733251,733288..733495,733536..734113,734151..735457,735495..736465)pers. comm. James Iben
SPAC27F1.09cprp10afterI:complement(join(4333170..4336555,4336622..4336726,4336778..4336787))added intron to match fully splicedPMID:9837997
SPAC27F1.09cprp10beforeI:complement(join(4333170..4336726,4336778..4336787))added intron to match fully splicedPMID:9837997
SPAPB24D3.05cafterI:complement(join(2954983..2955191,2955194..2955350))
SPAPB24D3.05cbeforeI:complement(join(2954989..2955191,2955191..2955350))
SPCC285.06cwtf17afterIII:complement(join(1805166..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPCC285.06cwtf17beforeIII:complement(join(1805165..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPAPB24D3.05cafterI:complement(join(2954989..2955191,2955191..2955350))
SPAPB24D3.05cbeforeI:complement(2954989..2955350)
SPCC285.06cwtf17afterIII:complement(join(1805165..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPCC285.06cwtf17beforeIII:complement(join(1805169..1805242,1805299..1805352,1805393..1805614,1805664..1805909,1806076..1806225,1806411..1806450))
SPAC458.04cdil1afterI:complement(join(4737605..4738147,4738189..4738283,4738330..4738740,4738779..4738854))pers. comm. Val Wood
SPAC458.04cbeforeI:complement(join(4737605..4738147,4738189..4738283,4738330..4738714))pers. comm. Val Wood
SPCC306.10wtf8afterIII:join(427445..427583,427752..427997,428072..428290,428336..428527,428568..428630,428681..428763)pseudo->codingpers. comm. Val Wood
SPCC306.10wtf8beforeIII:join(427445..427583,427752..427997,428047..428290,428336..428527,428568..428630,428681..428763)pseudo->codingpers. comm. Val Wood
SPCC5E4.10cafterIII:complement(join(651622..651905,651973..652045,652115..652225,652280..652371,652419..652455))pers. comm. K. Gould
SPCC5E4.10cbeforeIII:complement(join(651622..651905,651973..651994))pers. comm. K. Gould
SPAC29B12.08afterI:join(5429038..5429045,5429119..5431072)replaced exon 5428786..5428883 with 5429038.. 5429045pers. comm. Val Wood
SPAC29B12.08beforeI:join(5428786..5428883,5429122..5431072)replaced exon 5428786..5428883 with 5429038.. 5429045pers. comm. Val Wood
SPBC1348.11afterII:join(33231..33602,33608..34291,34295..34780)
SPBC1348.11beforeII:33231..34820
SPBC1348.12afterII:join(35112..35171,35211..35612,35748..35883,35928..36125,36234..36589)pseudo->codingpers. comm. Val Wood
SPBC1348.12beforeII:35223..36658pseudo->codingpers. comm. Val Wood
SPBC1348.13afterII:36892..37188
SPBC1348.13beforeII:36901..37263
SPBC18E5.15afterII:join(2091892..2091985,2091987..2092234)
SPBC18E5.15beforeII:join(2091892..2091982,2092041..2092234)
SPBC31A8.02afterII:1268093..1268452
SPBC31A8.02beforeII:1268094..1268452
SPBC3E7.04cafterII:complement(join(2662663..2662759,2662838..2663575,2663638..2663774,2663828..2663941,2664009..2664173))
SPBC3E7.04cbeforeII:complement(join(2662488..2662650,2662697..2662759,2662838..2663575,2663638..2663691,2663828..2663941,2664036..2664236,2664476..2664652))
SPBPB21E7.02cafterII:complement(join(60553..61094,61286..61379))
SPBPB21E7.02cbeforeII:complement(join(60553..61107,61119..61205))
SPCP20C8.03afterIII:join(32624..32956,32959..33393)
SPCP20C8.03beforeIII:32624..33393
SPBC18H10.08cubp4afterII:complement(join(1784219..1785748,1785937..1786080,1786141..1786248))missing 2 N-terminal exonspers. comm. I. Kouranti
SPBC18H10.08cubp4beforeII:complement(1784219..1785535)missing 2 N-terminal exonspers. comm. I. Kouranti
SPBC2A9.07cafterII:complement(2959078..2959902)removed intronpers. comm. Cathrine Arnason Boe
SPBC2A9.07cbeforeII:complement(join(2959078..2959129,2959172..2959902))removed intronpers. comm. Cathrine Arnason Boe
SPBP22H7.09cmis15afterII:complement(join(1448815..1449603,1449657..1449790,1449849..1450155))
SPBP22H7.09cmis15beforeII:complement(join(1448815..1449374,1449428..1449790,1449849..1450155))
SPAC1F8.07cafterI:complement(join(101836..101869,101872..103544))
SPAC1F8.07cbeforeI:complement(join(101836..101872,101872..103544))
SPBC13E7.01cwf22afterII:join(3037988..3040331,3040334..3040650)PMID:21270388
SPBC13E7.01cwf22beforeII:join(3037988..3040331,3040331..3040650)PMID:21270388
SPBC14C8.09cafterII:complement(join(2219430..2219934,2219937..2220322))
SPBC14C8.09cbeforeII:complement(join(2219430..2219937,2219937..2220322))
SPBC1A4.06cafterII:complement(join(1987044..1987099,1987102..1987675,1987737..1988015,1988081..1988353))
SPBC1A4.06cbeforeII:complement(join(1987044..1987102,1987102..1987675,1987737..1988015,1988081..1988353))
SPBC23G7.06cafterII:complement(join(2106448..2108178,2108181..2108786))
SPBC23G7.06cbeforeII:complement(join(2106448..2108181,2108181..2108786))
SPBC29A3.08pof4afterII:join(2053033..2053517,2053519..2053600)frameshifted; truncated to 2048336..2049892, 2049894..2049896PMID:16823372
SPBC29A3.08pof4beforeII:2053033..2053632frameshifted; truncated to 2048336..2049892, 2049894..2049896PMID:16823372
SPBC337.02cafterII:complement(join(1032857..1033607,1033610..1033776))
SPBC337.02cbeforeII:complement(1032857..1033776)
SPCC1442.04cafterIII:complement(join(1773925..1774233,1774236..1775429))
SPCC1442.04cbeforeIII:complement(join(1773925..1774239,1774236..1775429))
SPBC428.20calp6afterII:complement(join(481076..481552,481639..483437,483478..483539,483579..483706))
SPBC428.20calp6beforeII:complement(join(481076..481552,481639..483437,483478..483539,483579..483691))
SPBC800.02whi5afterII:join(253148..253231,253352..253984)increased intron by 42bp pers. comm. Rob de Bruin
SPBC800.02whi5beforeII:join(253148..253231,253310..253984)increased intron by 42bp pers. comm. Rob de Bruin
SPCC16C4.01sif2afterIII:join(658832..659139,659223..659488,659567..659628,659709..660197,660298..660321)
SPCC16C4.01sif2beforeIII:join(658832..659139,659223..659488,659567..659628,659709..660197,660298..660322)
SPBP23A10.07rpa2afterII:2008119..2011643truncated N-term to agree with orthologs; 2007960 -> 2008119pers. comm. Val Wood
SPBP23A10.07rpa2beforeII:2007960..2011643truncated N-term to agree with orthologs; 2007960 -> 2008119pers. comm. Val Wood
SPCC548.04urm1afterIII:join(223385..223407,223451..223603,223687..223796,223853..223860)final exon 223687..223852 to 223687..223796, 223853.223860pers. comm. Marc Feuermann, Uniprot (SIB),SPD:04/04C07
SPCC548.04beforeIII:join(223385..223407,223451..223603,223687..223852)final exon 223687..223852 to 223687..223796, 223853.223860pers. comm. Marc Feuermann, Uniprot (SIB),SPD:04/04C07
SPAC1F8.07cafterI:complement(join(101836..101872,101872..103544))frameshiftedPMID:16823372,SPD:45/45G12
SPAC1F8.07cbeforeI:complement(101760..103544)frameshiftedPMID:16823372
SPAC22F3.11csnu23afterI:join(682874..682994,682996..683109,683160..683446)frameshiftedPMID:16823372,SPD:06/06A12
SPAC22F3.11csnu23beforeI:join(682874..683034,683102..683109,683160..683446)frameshiftedPMID:16823372
SPAC23H3.04afterI:join(2499035..2499159,2499161..2499353,2499443..2499824,2499875..2500236)SPD:19/19C03
SPAC23H3.04beforeI:join(2499035..2499164,2499166..2499353,2499443..2499824,2499875..2500236)
SPBC13E7.01cwf22afterII:join(3037988..3040331,3040331..3040650)frameshiftedPMID:16823372,SPD:29/29B01
SPBC13E7.01cwf22beforeII:3037988..3040492frameshiftedPMID:16823372
SPBC14C8.09cafterII:complement(join(2219430..2219937,2219937..2220322))merged with SPBC14C8.08c; frameshiftedPMID:16823372,SPD:03/03F09
SPBC14C8.09cbeforeII:complement(2219888..2220322)merged with SPBC14C8.08c; frameshiftedPMID:16823372
SPBC1A4.06cafterII:complement(join(1987044..1987102,1987102..1987675,1987737..1988015,1988081..1988353))frameshifted; C term exon changed from 1987076..1987675 to 1987044..1987675PMID:16823372,SPD:44/44B06
SPBC1A4.06cbeforeII:complement(join(1987076..1987675,1987737..1988015,1988081..1988353))frameshifted; C term exon changed from 1987076..1987675 to 1987044..1987675PMID:16823372
SPBC23G7.06cafterII:complement(join(2106448..2108181,2108181..2108786))frameshifted; now a single exonPMID:16823372,SPD:28/28D07
SPBC23G7.06cbeforeII:complement(join(2106448..2108254,2108356..2108786))frameshifted; now a single exonPMID:16823372
SPBC29A3.06afterII:join(2048336..2049892,2049894..2049896)SPD:35/35A03
SPBC29A3.06beforeII:2048336..2050006
SPBC725.12nbl1afterII:join(1227762..1227876,1227926..1228094,1228166..1228307)pers. comm. Kathy Gould,SPD:01/01H12
SPBC725.12mug118beforeII:join(1227762..1227876,1227926..1228098)pers. comm. Kathy Gould
SPCC1442.04cafterIII:complement(join(1773925..1774239,1774236..1775429))frameshiftedPMID:16823372,SPD:19/19F02
SPCC1442.04cbeforeIII:complement(1774200..1775429)frameshiftedPMID:16823372
SPAC31G5.12cmaf1afterI:complement(join(3008184..3008795,3009160..3009258,3009312..3009317))PMID:15590667
SPAC31G5.12cmaf1beforeI:complement(join(3008184..3008795,3008914..3008957,3009044..3009089))PMID:15590667
SPAPB1E7.14iec5afterI:join(3321979..3322018,3322071..3322331,3322379..3322512)PMID:19040720
SPAPB1E7.14beforeI:join(3322106..3322331,3322379..3322512)PMID:19040720,PMID:18488015
SPAC23H3.04afterI:join(2499035..2499164,2499166..2499353,2499443..2499824,2499875..2500236)
SPAC23H3.04beforeI:join(2499035..2499164,2499160..2499353,2499443..2499824,2499875..2500236)
SPAC688.04cgst3afterI:complement(3116067..3116744)
SPAC688.04cgst3beforeI:complement(3116067..3116795)
SPBC11B10.10cpht1afterII:complement(1502642..1503064)N terminal shortened to 2nd methionine; starting coordinate changed from 1503157 to 1503064pers. comm. L Buchanan and F Stewart
SPBC11B10.10cpht1beforeII:complement(1502642..1503157)N terminal shortened to 2nd methionine; starting coordinate changed from 1503157 to 1503064pers. comm. L Buchanan and F Stewart
SPAC959.05cafterI:complement(join(3395685..3397327,3397383..3397579,3397681..3397852,3398029..3398701))merged with SPAC959.06c; splicing is tentativepers. comm. Charley Chahwan
SPAC959.05cbeforeI:complement(join(3395685..3397327,3397383..3397638))merged with SPAC959.06c; splicing is tentativepers. comm. Charley Chahwan
SPBC18E5.14cafterII:complement(join(2089944..2090330,2090431..2090556,2090620..2090943))merged with SPBC18E5.09cpers. comm. Charley Chahwan
SPBC18E5.14cbeforeII:complement(2089944..2090327)merged with SPBC18E5.09cpers. comm. Charley Chahwan
SPBC31F10.08mde2afterII:join(3764820..3765437,3765491..3765709)pers. comm. Charley Chahwan
SPBC31F10.08mde2beforeII:3764820..3765449pers. comm. Charley Chahwan
SPBC651.06mug166afterII:join(1247484..1248086,1248158..1248241,1248381..1248481,1248692..1248921,1248991..1249073,1249135..1249617)merged with SPBC651.07pers. comm. Charley Chahwan
SPBC651.06mug166beforeII:1247484..1248188merged with SPBC651.07pers. comm. Charley Chahwan
SPAC25H1.10catp19afterI:complement(join(2532904..2532928,2532991..2533127,2533170..2533214))PMID:18488015
SPAC25H1.10catp19beforeI:complement(join(2532905..2532928,2532991..2533127,2533170..2533214))PMID:xxxxtemp
SPAC6F6.16ctpz1afterI:complement(join(2763686..2764572,2764611..2764752,2764791..2764825,2764872..2765122,2765166..2765263,2765320..2765433))merged with SPAC6F6.18c and five introns addedPMID:18535244
SPAC6F6.16cbeforeI:complement(2763686..2764534)merged with SPAC6F6.18c and five introns addedPMID:18535244
SPBC2G2.09ccrs1afterII:complement(join(3452323..3452540,3452589..3452769,3452922..3453077,3453119..3453406))added new C-terminal exon, deleted exon 3452822..3452877, extended intron 2 by 4 nucleotidespers. comm. Charley Chahwan
SPBC2G2.09ccrs1beforeII:complement(join(3452584..3452769,3452822..3452877,3452918..3453077,3453119..3453406))added new C-terminal exon, deleted exon 3452822..3452877, extended intron 2 by 4 nucleotidespers. comm. Charley Chahwan
SPCC338.08ctp1afterIII:complement(join(1358891..1359082,1359127..1359819))
SPCC338.08ctp1beforeIII:complement(join(1358891..1359082,1359121..1359819))
SPCC962.05ast1afterIII:join(554521..554744,554865..556200)pers. comm. Matthew O’Connell
SPCC962.05ast1afterIII:join(554521..554744,554865..556200)intron position movedpers comm. M. O’Connell
SPCC962.05beforeIII:join(554521..554722,554792..556200)pers. comm. Matthew O’Connell
SPCC962.05beforeIII:join(554521..554722,554792..556200)intron position movedpers comm. M. O’Connell
SPAC31G5.12cmaf1afterI:complement(join(3008184..3008795,3008914..3008957,3009044..3009089))
SPAC31G5.12cmaf1beforeI:complement(join(3008184..3008795,3008893..3008928))
SPBC16C6.02cvps1302afterII:complement(join(4322829..4331555,4331641..4331793,4331856..4331968,4332007..4332028))also adds new gene SPBC16C6.14, complement(4322221..4322622)PMID:18367542
SPBC16C6.02cvps1302beforeII:complement(join(4322221..4322742,4322970..4331555,4331641..4331793,4331856..4331968,4332007..4332028))also adds new gene SPBC16C6.14, complement(4322221..4322622)PMID:18367542
SPBC19G7.06mbx1afterII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360001..2361092)Solexa intron data; altered 3rd intron branch acceptor to agree with publishedPMID:18488015
SPBC19G7.06mbx1beforeII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360064..2361092)Solexa intron data; altered 3rd intron branch acceptor to agree with publishedPMID:18488015
SPBC21C3.07cbeforeII:complement(join(3807827..3807891,3807946..3808607,3808665..3808795))
SPBC21C3.07cbeforeII:complement(join(3807920..3808607,3808665..3808795))Solexa transread data; added two 3’ exonsPMID:18488015
SPBC428.20calp6afterII:complement(join(481076..481552,481639..483437,483478..483539,483579..483691))
SPBC428.20calp6beforeII:complement(join(481076..481552,481639..483437,483478..483539,483579..483706))
SPCC338.08ctp1afterIII:complement(join(1358891..1359082,1359121..1359819))
SPCC338.08ctp1beforeIII:complement(join(1358885..1359082,1359121..1359819))
SPAC1093.03afterI:join(4613627..4613686,4613723..4614081,4614164..4614378,4614438..4614954,4614996..4616331)Solexa intron data; improved distance between branch and acceptor, intron 2PMID:18488015
SPAC1093.03beforeI:join(4613627..4613686,4613723..4614081,4614152..4614378,4614438..4614954,4614996..4616331)Solexa intron data; improved distance between branch and acceptor, intron 2PMID:18488015
SPAC1142.01afterI:3625574..3627544Solexa intron data; removed 5’ exon and trimmed to new Met, improved homologyPMID:18488015
SPAC1142.01beforeI:join(3625447..3625460,3625555..3627544)Solexa intron data; removed 5’ exon and trimmed to new Met, improved homologyPMID:18488015
SPAC11D3.07cafterI:complement(118195..120108)Solexa intron data; removed in-frame splice, not required or supportedPMID:18488015
SPAC11D3.07cbeforeI:complement(join(118195..119827,119930..120108))Solexa intron data; removed in-frame splice, not required or supportedPMID:18488015
SPAC13G6.04tim8afterI:join(180423..180528,180586..180721,180890..180911)Solexa transread dataPMID:18488015
SPAC13G6.04tim8beforeI:join(180423..180528,180586..180776)Solexa transread dataPMID:18488015
SPAC144.17cafterI:complement(join(4687388..4687477,4687522..4688462,4688513..4688831))Solexa transread data; added 3’ intron and exon, improved homologyPMID:18488015
SPAC144.17cbeforeI:complement(join(4687483..4688462,4688513..4688831))Solexa transread data; added 3’ intron and exon, improved homologyPMID:18488015
SPAC1556.01crad50afterI:complement(join(3791831..3791851,3791891..3792229,3792267..3795557,3795601..3795684,3795734..3795856))Solexa transread data; added small 3’ intron and exonPMID:18488015
SPAC1556.01crad50beforeI:complement(join(3791855..3792229,3792267..3795557,3795601..3795684,3795734..3795856))Solexa transread data; added small 3’ intron and exonPMID:18488015
SPAC1556.03azr1afterI:join(3799244..3799680,3799731..3800135,3800184..3800241)Solexa transread data; added new 5’ intron and exon/improved homologyPMID:18488015
SPAC1556.03azr1beforeI:join(3799244..3799680,3799731..3800160)Solexa transread data; added new 5’ intron and exon/improved homologyPMID:18488015
SPAC15A10.10mde6afterI:join(3697508..3697752,3697795..3698368,3698421..3698527,3698570..3699310,3699359..3699538,3699582..3699837)Solexa transread data; added in-frame intronPMID:18488015
SPAC15A10.10mde6beforeI:join(3697508..3697752,3697795..3698368,3698421..3698527,3698570..3699538,3699582..3699837)Solexa transread data; added in-frame intronPMID:18488015
SPAC15A10.12cafterI:complement(join(3709206..3709346,3709499..3709804))Solexa transread dataPMID:18488015
SPAC15A10.12cbeforeI:complement(3709451..3709804)Solexa transread dataPMID:18488015
SPAC1639.01cafterI:complement(join(251726..251745,251863..252337,252392..252752,253590..253630))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC1639.01cbeforeI:complement(join(251726..252337,252392..252752,253590..253630))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC16E8.12cafterI:complement(join(3523136..3523644,3523925..3523996,3524044..3524098))Solexa transread data; added 2 5’ exonsPMID:18488015
SPAC16E8.12cbeforeI:complement(join(3523136..3523644,3524027..3524030))Solexa transread data; added 2 5’ exonsPMID:18488015
SPAC1751.02crsm19afterI:complement(join(385755..385887,385938..386043,386107..386149))Solexa intron data; remove 5’ exon, trimmed to new Met, improved homologyPMID:18488015
SPAC1751.02crsm19beforeI:complement(join(385755..385887,385938..386043,386107..386179,386296..386310))Solexa intron data; remove 5’ exon, trimmed to new Met, improved homologyPMID:18488015
SPAC17A5.02cdbr1afterI:complement(join(1754033..1754145,1754186..1754310,1754350..1755118,1755164..1755285,1755331..1755638))Solexa transread dataPMID:18488015
SPAC17A5.02cdbr1beforeI:complement(join(1754109..1754310,1754350..1755118,1755164..1755285,1755331..1755638))Solexa transread dataPMID:18488015
SPAC1A6.03cafterI:complement(join(1070061..1070138,1070205..1072013))Solexa transread data; new 3’ intron/exon, improved homologyPMID:18488015
SPAC1A6.03cbeforeI:complement(1070139..1072013)Solexa transread data; new 3’ intron/exon, improved homologyPMID:18488015
SPAC1B3.10cafterI:complement(4946090..4948084)Solexa intron data; removed 3’ exon, unsupportedPMID:18488015
SPAC1B3.10cbeforeI:complement(join(4945933..4945984,4946094..4948084))Solexa intron data; removed 3’ exon, unsupportedPMID:18488015
SPAC1F12.08afterI:join(3817464..3817803,3817851..3817991,3818035..3818130,3818170..3818543)Solexa transread data; added new intron, in-frame splice in final exon, improved homologyPMID:18488015
SPAC1F12.08beforeI:join(3817464..3817803,3817851..3817991,3818035..3818543)Solexa transread data; added new intron, in-frame splice in final exon, improved homologyPMID:18488015
SPAC22E12.10cetp1afterI:complement(join(5037208..5037446,5037492..5039103))Solexa transread data; added in-frame splicePMID:18488015
SPAC22E12.10cetp1beforeI:complement(5037208..5039103)Solexa transread data; added in-frame splicePMID:18488015
SPAC23C4.04cafterI:join(1036033..1036343,1036397..1036508)Solexa transread data; added intronPMID:18488015
SPAC23C4.04cbeforeI:1036033..1036347Solexa transread data; added intronPMID:18488015
SPAC23H3.04afterI:join(2499035..2499164,2499160..2499353,2499443..2499824,2499875..2500236)Solexa intron data; changed 5’ 1st and 2nd exon, improved homologyPMID:18488015
SPAC23H3.04beforeI:join(2499035..2499164,2499325..2499353,2499443..2499824,2499875..2500236)Solexa intron data; changed 5’ 1st and 2nd exon, improved homologyPMID:18488015
SPAC24H6.01cafterI:join(490016..490262,490338..490771,490812..490931,490979..491149,491186..491858,491905..492011)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPAC24H6.01cbeforeI:join(490016..490262,490338..490771,490812..490931,490979..491149,491186..491980)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPAC26H5.04afterI:4122149..4124518Solexa intron dataPMID:18488015
SPAC26H5.04beforeI:join(4122149..4123354,4123535..4124518)Solexa intron dataPMID:18488015
SPAC2C4.06cafterI:complement(join(4269367..4270554,4270631..4270674,4270736..4270871))Solexa intron data; replaced 2 internal exons with a different single exonPMID:18488015
SPAC2C4.06cbeforeI:complement(join(4269367..4270554,4270587..4270593,4270638..4270674,4270736..4270871))Solexa intron data; replaced 2 internal exons with a different single exonPMID:18488015
SPAC2C4.11crbp28afterI:complement(join(4278729..4279405,4279457..4279505))Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC2C4.11crbp28beforeI:complement(4278729..4279505)Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC2F3.18cafterI:complement(join(3942299..3942364,3942506..3942730))Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC2F3.18cbeforeI:complement(3942398..3942730)Solexa transread data; added small N term in-frame intronPMID:18488015
SPAC30.03ctsn1afterI:complement(join(4394707..4394741,4394799..4394967,4395010..4395092,4395131..4395367,4395416..4395491,4395530..4395592))Solexa transread data; added in-frame intron to (previous) 2nd exon, improved homologyPMID:18488015
SPAC30.03ctsn1beforeI:complement(join(4394707..4394741,4394799..4394967,4395010..4395092,4395131..4395491,4395530..4395592))Solexa transread data; added in-frame intron to (previous) 2nd exon, improved homologyPMID:18488015
SPAC30C2.05erv14afterI:join(4639884..4639924,4639969..4640020,4640076..4640365,4640447..4640477)Solexa transread data; added new 5’ intron/exon, improved homologyPMID:18488015
SPAC30C2.05erv14beforeI:join(4639916..4640020,4640076..4640365,4640447..4640477)Solexa transread data; added new 5’ intron/exon, improved homologyPMID:18488015
SPAC328.05afterI:join(3484695..3484698,3484752..3485065,3485241..3485342,3485382..3485528,3485582..3485974,3486056..3486502)Solexa intron data; removed in-frame splice (exon 5), unsupportedPMID:18488015
SPAC328.05beforeI:join(3484695..3484698,3484752..3485065,3485241..3485342,3485382..3485528,3485582..3485807,3485910..3485974,3486056..3486502)Solexa intron data; removed in-frame splice (exon 5), unsupportedPMID:18488015
SPAC3A12.05ctaf2afterI:complement(join(1426213..1427148,1427189..1429617,1429709..1429830,1429882..1429913))Solexa intron data; improved distance between branch and acceptorPMID:18488015
SPAC3A12.05ctaf2beforeI:complement(join(1426213..1427148,1427189..1429617,1429709..1429836,1429882..1429913))Solexa intron data; improved distance between branch and acceptorPMID:18488015
SPAC4F10.08mug126afterI:join(4844855..4845824,4845863..4846063,4846104..4846129)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC4F10.08mug126beforeI:join(4844855..4845824,4845863..4846203)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC56F8.04ccoq2afterI:complement(join(1133226..1134283,1134332..1134356))Solexa transread data; added 5’ intron/exonPMID:18488015
SPAC56F8.04ccoq2beforeI:complement(1133226..1134302)Solexa transread data; added 5’ intron/exonPMID:18488015
SPAC589.02cmed13afterI:complement(join(3095075..3098590,3098626..3098781,3098878..3098883))Solexa intron data; improved branch/acceptor for 1st intronPMID:18488015
SPAC589.02cmed13beforeI:complement(join(3095075..3098590,3098626..3098775,3098878..3098883))Solexa intron data; improved branch/acceptor for 1st intronPMID:18488015
SPAC630.11vps55afterI:join(366801..366817,366873..366891,366968..367040,367105..367189,367293..367348,367395..367531)Solexa transread data; changed internal intron acceptor, improved homologyPMID:18488015
SPAC630.11vps55beforeI:join(366801..366817,366873..366891,366968..367040,367123..367189,367293..367348,367395..367531)Solexa transread data; changed internal intron acceptor, improved homologyPMID:18488015
SPAC6F12.08cafterI:complement(join(1322439..1323955,1323999..1324140,1324195..1324252,1324299..1324336))Solexa intron data; improved branch acceptor for intron 1PMID:18488015
SPAC6F12.08cbeforeI:complement(join(1322439..1323955,1323999..1324140,1324195..1324234,1324299..1324336))Solexa intron data; improved branch acceptor for intron 1PMID:18488015
SPAC823.04afterI:join(2587729..2587897,2588106..2588620)Solexa transread dataPMID:18488015
SPAC823.04beforeI:join(2587729..2587897,2588085..2588620)Solexa transread dataPMID:18488015
SPAC823.09cafterI:complement(join(2594777..2594913,2594966..2595693,2595734..2595819))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC823.09cbeforeI:complement(join(2594922..2595693,2595734..2595819))Solexa transread data; added new 3’ intron/exonPMID:18488015
SPAC890.07crmt1afterI:complement(join(5016020..5016026,5016076..5016215,5016262..5016596,5016649..5016943,5016994..5017059,5017138..5017252,5017421..5017433,5017700..5017703,5017782..5017829))Solexa transread data; added small N terminal exon, which added a single conserved cysteinePMID:18488015
SPAC890.07crmt1beforeI:complement(join(5016072..5016215,5016262..5016596,5016649..5016943,5016994..5017059,5017138..5017252,5017421..5017433,5017700..5017703,5017782..5017829))Solexa transread data; added small N terminal exon, which added a single conserved cysteinePMID:18488015
SPAC8C9.19afterI:join(3660430..3660438,3660491..3660556,3660607..3660717)Solexa intron data; deleted final exon, unsupported, improved length and alignment to orthologsPMID:18488015
SPAC8C9.19beforeI:join(3660430..3660438,3660491..3660556,3660607..3660713,3660784..3660886)Solexa intron data; deleted final exon, unsupported, improved length and alignment to orthologsPMID:18488015
SPAC9.06cafterI:complement(join(1473692..1473885,1473939..1474105,1474153..1474212,1474264..1474341,1474381..1474404,1474460..1474539))Solexa transread dataPMID:18488015
SPAC9.06cbeforeI:complement(join(1473692..1473885,1473939..1474105,1474153..1474212,1474264..1474341,1474460..1474539))Solexa transread dataPMID:18488015
SPAC9G1.13cafterI:complement(join(1995208..1996148,1996191..1996268,1996325..1996413,1996478..1996683))Solexa intron data; added a new 3rd exon, improved homologyPMID:18488015
SPAC9G1.13cbeforeI:complement(join(1995208..1996148,1996325..1996413,1996478..1996683))Solexa intron data; added a new 3rd exon, improved homologyPMID:18488015
SPAPB17E12.03afterI:join(1271889..1271972,1272015..1272962)Solexa intron data; removed in-frame splice, unsupported, improved homologyPMID:18488015
SPAPB17E12.03beforeI:join(1271889..1271972,1272015..1272386,1272483..1272962)Solexa intron data; removed in-frame splice, unsupported, improved homologyPMID:18488015
SPAPB17E12.08afterI:join(1279573..1279779,1279820..1279869,1279953..1280325)Solexa transread data; changed first donor to make n-terminal exon longer, improved homologyPMID:18488015
SPAPB17E12.08beforeI:join(1279573..1279644,1279820..1279869,1279953..1280325)Solexa transread data; changed first donor to make n-terminal exon longer, improved homologyPMID:18488015
SPAPB18E9.01trm5afterI:join(3974310..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975962,3976014..3976079)Solexa transread data; added small 3’ exon, improved homologyPMID:18488015
SPAPB18E9.01trm5beforeI:join(3974310..3974485,3974541..3974629,3974674..3974775,3974879..3975132,3975193..3975429,3975485..3975832,3975882..3975983)Solexa transread data; added small 3’ exon, improved homologyPMID:18488015
SPAPB1A10.16afterI:join(1863972..1864360,1864415..1864457)Solexa transread dataPMID:18488015
SPAPB1A10.16beforeI:1863972..1864388Solexa transread dataPMID:18488015
SPAPB2B4.06afterI:join(2722735..2723210,2723273..2723300,2723349..2723559,2723608..2723660)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPAPB2B4.06beforeI:join(2722735..2723210,2723273..2723300,2723349..2723582)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPBC106.05ctim11afterII:complement(join(383527..383612,383703..383874,383940..383960))Solexa transread data; changed 5’ exonPMID:18488015
SPBC106.05ctim11beforeII:complement(join(383527..383612,383703..383874,383980..384012))Solexa transread data; changed 5’ exonPMID:18488015
SPBC13G1.04cafterII:complement(join(3732806..3732930,3732994..3733762))Solexa transread data; added new 3’ intron and exon, improved homologyPMID:18488015
SPBC13G1.04cbeforeII:complement(3732941..3733762)Solexa transread data; added new 3’ intron and exon, improved homologyPMID:18488015
SPBC15D4.13cafterII:complement(join(3032492..3032710,3032761..3032822,3032889..3033222))Solexa intron data; better donor for first intronPMID:18488015
SPBC15D4.13cbeforeII:complement(join(3032492..3032710,3032761..3032822,3032865..3033222))Solexa intron data; better donor for first intronPMID:18488015
SPBC16C6.03cafterII:complement(4332698..4333123)Solexa intron data; final exon, unsupported removedPMID:18488015
SPBC16C6.03cbeforeII:complement(join(4332356..4332454,4332746..4333123))Solexa intron data; final exon, unsupported removedPMID:18488015
SPBC16D10.02trm11afterII:join(3588806..3589595,3589639..3589803,3589845..3590123,3590163..3590278,3590327..3590386)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC16D10.02trm11beforeII:join(3588806..3589595,3589639..3589803,3589845..3590123,3590163..3590287)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC16D10.10afterII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618918,3618956..3619071,3619113..3619321,3619366..3619540)Solexa transread data; changed 2 introns (existing 4 and 5) to create a new exon 5, improved homologyPMID:18488015
SPBC16D10.10beforeII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618971,3619077..3619321,3619366..3619540)Solexa transread data; changed 2 introns (existing 4 and 5) to create a new exon 5, improved homologyPMID:18488015
SPBC16E9.16clsd90afterII:complement(join(1947985..1948953,1948955..1950050,1950053..1950255))gene structure revised to remove introns, genome sequence contains 2 frameshiftsPMID:18079165
SPBC16E9.16cbeforeII:complement(join(1947985..1949069,1949218..1950058,1950253..1950255))gene structure revised to remove introns, genome sequence contains 2 frameshiftsPMID:18079165
SPBC19G7.06mbx1afterII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360064..2361092)
SPBC19G7.06mbx1beforeII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360001..2361092)
SPBC19G7.10cafterII:complement(join(2369064..2369190,2369246..2369416,2369455..2371243,2371351..2371451,2371507..2371583))
SPBC19G7.10cbeforeII:complement(join(2369064..2369160,2369246..2369416,2369455..2371243,2371351..2371451,2371507..2371583))
SPBC21.03cafterII:complement(join(3217985..3218424,3218462..3218491,3218580..3218651,3218704..3218947))Solexa intron data; changed 2 internal introns, now agrees with transread data, but still potential to be incorrectPMID:18488015
SPBC21.03cbeforeII:complement(join(3217985..3218424,3218467..3218491,3218693..3218947))Solexa intron data; changed 2 internal introns, now agrees with transread data, but still potential to be incorrectPMID:18488015
SPBC21C3.07cafterII:complement(join(3807714..3807783,3807831..3807891,3807946..3808607,3808665..3808795))
SPBC21C3.07cafterII:complement(join(3807827..3807891,3807946..3808607,3808665..3808795))Solexa transread data; added two 3’ exonsPMID:18488015
SPBC2A9.07cafterII:complement(join(2959078..2959129,2959172..2959902))Solexa transread data; added in-frame intron, improved homologyPMID:18488015
SPBC2A9.07cbeforeII:complement(2959078..2959902)Solexa transread data; added in-frame intron, improved homologyPMID:18488015
SPBC2D10.15cafterII:complement(join(2995324..2995497,2995534..2995579,2995619..2995923,2995971..2996066))Solexa transread dataPMID:18488015
SPBC2D10.15cbeforeII:complement(join(2995324..2995579,2995619..2995923,2995971..2996066))Solexa transread dataPMID:18488015
SPBC2D10.16afterII:join(2996452..2996463,2996509..2996687,2996738..2996879)Solexa transread data; added new intron in second exon, which created a new 3rd exon, and identified homology with Cenp-S (was previously sequence orphan)PMID:18488015
SPBC2D10.16beforeII:join(2996452..2996463,2996509..2996904)Solexa transread data; added new intron in second exon, which created a new 3rd exon, and identified homology with Cenp-S (was previously sequence orphan)PMID:18488015
SPBC31F10.12afterII:join(3773308..3773318,3773373..3773525,3773581..3773678,3773795..3773999,3774059..3774116,3774192..3774212)Solexa transread data; added new 5’ intron and exonPMID:18488015
SPBC31F10.12beforeII:join(3773353..3773525,3773581..3773678,3773795..3773999,3774059..3774116,3774192..3774212)Solexa transread data; added new 5’ intron and exonPMID:18488015
SPBC32H8.08cafterII:complement(join(1465811..1466035,1466138..1467057,1467311..1467431))Solexa intron data; removed 5’ intron/exon (unsupported) and trimmed to next metPMID:18488015
SPBC32H8.08cbeforeII:complement(join(1465811..1466035,1466138..1467057,1467311..1467456,1467514..1467539))Solexa intron data; removed 5’ intron/exon (unsupported) and trimmed to next metPMID:18488015
SPBC4.02cafterII:complement(join(1185617..1186640,1186738..1186846,1187087..1187162,1187220..1187324))
SPBC4.02cbeforeII:complement(join(1185617..1186640,1186738..1186846,1187087..1187324))
SPBC582.04cafterII:complement(join(423269..423598,423669..423738,423782..423871,423912..424373,424424..424692,424747..424872,424921..425160,425223..425350,425410..425446))Solexa transread data; added in-frame intron to (existing) exon 3PMID:18488015
SPBC582.04cbeforeII:complement(join(423269..423598,423669..423738,423782..423871,423912..424373,424424..424872,424921..425160,425223..425350,425410..425446))Solexa transread data; added in-frame intron to (existing) exon 3PMID:18488015
SPBC725.04afterII:join(1208965..1210626,1210678..1210722)
SPBC725.04beforeII:join(1208965..1210626,1210660..1210722)
SPBC8D2.17afterII:join(1390183..1391093,1391147..1391222)Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC8D2.17beforeII:1390183..1391238Solexa transread data; added new 3’ intron/exonPMID:18488015
SPBC947.03cafterII:join(676629..676908,677057..677127)Solexa transread data; added 5’ inton/exon, improved homologyPMID:18488015
SPBC947.03cbeforeII:676629..676931Solexa transread data; added 5’ inton/exon, improved homologyPMID:18488015
SPBP35G2.06cnup131afterII:complement(join(973049..974181,974223..974577,974647..975002,975044..975137,975172..976632))Solexa intron data; changed donor for intron 3PMID:18488015
SPBP35G2.06cnup131beforeII:complement(join(973049..974181,974223..974577,974617..975002,975044..975137,975172..976632))Solexa intron data; changed donor for intron 3PMID:18488015
SPBP4H10.12afterII:join(2895855..2895863,2896001..2896459,2896516..2896587)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPBP4H10.12beforeII:join(2895855..2895863,2896001..2896507)Solexa transread data; added new 3’ intron/exon, improved homologyPMID:18488015
SPBP4H10.15afterII:join(2903103..2905816,2905857..2905881)
SPBP4H10.15beforeII:2903103..2905820
SPBPB2B2.18afterII:join(4502692..4502725,4502787..4502857,4503068..4503286,4503527..4503664)Solexa transread data; changed 5’ intron/exonPMID:18488015
SPBPB2B2.18beforeII:join(4502439..4502463,4502712..4502857,4503068..4503286,4503527..4503664)Solexa transread data; changed 5’ intron/exonPMID:18488015
SPBPJ4664.05afterII:join(705932..706077,706141..706666)Solexa transread data; added new 5’ intron and exon, improved homologyPMID:18488015
SPBPJ4664.05beforeII:706175..706666Solexa transread data; added new 5’ intron and exon, improved homologyPMID:18488015
SPCC1020.11cafterIII:join(757365..757424,757506..757761,757851..757861)Solexa transread data; added 3’intron/exonPMID:18488015
SPCC1020.11cbeforeIII:join(757365..757424,757506..757802)Solexa transread data; added 3’intron/exonPMID:18488015
SPCC1393.06cafterIII:complement(join(804627..805627,805678..805800,805849..805921,805965..806009))Solexa intron data; changed first intron and added a new 2nd exon, improved homology, also confirmed by transread dataPMID:18488015
SPCC1393.06cbeforeIII:complement(join(804627..805627,805678..805800,805907..806009))Solexa intron data; changed first intron and added a new 2nd exon, improved homology, also confirmed by transread dataPMID:18488015
SPCC1442.08ccox12afterIII:complement(join(1781505..1781563,1781637..1781744,1781830..1781855,1781920..1781935,1781981..1782032))Solexa transread data; added 2 small 5’ exons, improved homologyPMID:18488015
SPCC1442.08ccox12beforeIII:complement(join(1781505..1781563,1781637..1781744,1781830..1781914))Solexa transread data; added 2 small 5’ exons, improved homologyPMID:18488015
SPCC1450.14cero12afterIII:complement(1759295..1760998)Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC1450.14cero12beforeIII:complement(join(1759295..1760998,1761117..1761128))Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC1620.09ctfg1afterIII:complement(join(2161331..2161515,2161565..2162363,2162405..2162500,2162584..2163123))Solexa transread data; added 5’ exon, improved homologyPMID:18488015
SPCC1620.09ctfg1beforeIII:complement(join(2161527..2162363,2162405..2162500,2162584..2163123))Solexa transread data; added 5’ exon, improved homologyPMID:18488015
SPCC1620.10cwf26afterIII:join(2163205..2164118,2164159..2164165)Solexa transread data; added 3’ exon encoding single methioninePMID:18488015
SPCC1620.10cwf26beforeIII:2163205..2164122Solexa transread data; added 3’ exon encoding single methioninePMID:18488015
SPCC16C4.01sif2afterIII:join(658832..659139,659223..659488,659567..659628,659709..660197,660298..660322)Solexa transread data; added 3’ intron which changed frame of final exon, shorter product, improved homologyPMID:18488015
SPCC16C4.01sif2beforeIII:join(658832..659139,659223..659488,659567..659628,659709..660413)Solexa transread data; added 3’ intron which changed frame of final exon, shorter product, improved homologyPMID:18488015
SPCC16C4.16cafterIII:complement(join(697605..697752,697875..698127,698180..698399))Solexa transread data; added 3’ intron/exon, improved homologyPMID:18488015
SPCC16C4.16cbeforeIII:complement(join(697862..698127,698180..698399))Solexa transread data; added 3’ intron/exon, improved homologyPMID:18488015
SPCC1827.02cafterIII:complement(2377039..2378127)Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC1827.02cbeforeIII:complement(join(2377039..2378078,2378197..2378221))Solexa intron data; deleted first exon, unsupportedPMID:18488015
SPCC338.08ctp1afterIII:complement(join(1358885..1359082,1359121..1359819))in accordance with paperpers. comm. Paul Russell; PMID:18378696
SPCC338.08ctp1beforeIII:complement(1358962..1359819)in accordance with paperpers. comm. Paul Russell; PMID:18378696
SPCC63.10cafterIII:complement(join(854651..855926,855984..856213))Solexa intron data; deleted 2nd and 3rd introns, were not required or supportedPMID:18488015
SPCC63.10cbeforeIII:complement(join(854651..855695,855766..855800,855839..855926,855984..856213))Solexa intron data; deleted 2nd and 3rd introns, were not required or supportedPMID:18488015
SPCC736.12cmmi1afterIII:complement(join(337829..337985,338030..338178,338232..338347,338395..339354,339483..339567))Solexa transread data; added 3’ exon, improved homologyPMID:18488015
SPCC736.12cmmi1beforeIII:complement(join(338026..338178,338232..338347,338395..339354,339483..339567))Solexa transread data; added 3’ exon, improved homologyPMID:18488015
SPCC830.02wtf24afterIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182371,2182422..2182504)
SPCC830.02wtf24beforeIII:join(2181204..2181342,2181510..2181758,2181808..2182031,2182077..2182504)
SPAC1639.01cafterI:complement(join(251726..252337,252392..252752,253590..253630))
SPAC1639.01cbeforeI:complement(join(251726..252337,252392..252752,252945..252958))
SPAC16A10.06cnse2afterI:complement(join(3089583..3090047,3090112..3090285,3090533..3090697))Solexa intron data; revised intron structure/original intron absent from Solexa dataPMID:18488015
SPAC16A10.06cnse2beforeI:complement(join(3089583..3089996,3090112..3090285,3090533..3090697))Solexa intron data; revised intron structure/original intron absent from Solexa dataPMID:18488015
SPAC17C9.08pnu1afterI:complement(join(4484835..4485274,4485350..4485596,4485713..4485994))Solexa intron data; revised intron structure/original intron absent from Solexa data and unsupported from mRNA data so final exon deletedPMID:18488015
SPAC17C9.08pnu1beforeI:complement(join(4484758..4484804,4484843..4485274,4485350..4485596,4485713..4485994))Solexa intron data; revised intron structure/original intron absent from Solexa data and unsupported from mRNA data so final exon deletedPMID:18488015
SPAC227.11cafterI:complement(join(514552..515082,515222..515482,515534..515659))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC227.11cbeforeI:complement(join(514434..514489,514557..515082,515222..515482,515534..515659))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC23D3.08usp108afterI:join(4352514..4353359,4353410..4353577)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC23D3.08usp108beforeI:join(4352514..4353359,4353410..4353573,4353623..4353761)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC29E6.03cuso1afterI:complement(join(4405990..4407375,4407447..4409096,4409171..4409338))Solexa intron data; changed internal splice site, better intron, slightly improved homology; deleted final small exon, unsupportedPMID:18488015
SPAC29E6.03cuso1beforeI:complement(join(4405871..4405889,4405994..4407291,4407447..4409096,4409171..4409338))Solexa intron data; changed internal splice site, better intron, slightly improved homology; deleted final small exon, unsupportedPMID:18488015
SPAC4C5.01afterI:join(1192545..1192592,1192662..1192704,1192779..1192841,1192916..1193010,1193062..1193145,1193197..1193613)Solexa intron data` altered intron 5 to improve donor and acceptor, improved homologyPMID:18488015
SPAC4C5.01beforeI:join(1192545..1192592,1192662..1192704,1192779..1192841,1192916..1193010,1193062..1193175,1193236..1193613)Solexa intron data` altered intron 5 to improve donor and acceptor, improved homologyPMID:18488015
SPAC56F8.05cmug64afterI:complement(join(1134697..1135061,1135195..1135402,1135517..1135684,1135729..1135776,1135932..1136003))Solexa intron data; revised intron structure/original intron absent from Solexa data. N terminal exon unsupported and had no branch site so exon deletedPMID:18488015
SPAC56F8.05cmug64beforeI:complement(join(1134697..1135061,1135195..1135402,1135517..1135684,1135729..1135776,1135932..1135970,1136111..1136170))Solexa intron data; revised intron structure/original intron absent from Solexa data. N terminal exon unsupported and had no branch site so exon deletedPMID:18488015
SPAC631.02afterI:join(2107470..2107515,2107860..2110123)Solexa transcript dataPMID:18488015
SPAC631.02beforeI:2107940..2110123Solexa transcript dataPMID:18488015
SPAC688.08srb8afterI:join(3123163..3125057,3125099..3126310,3126356..3126653)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC688.08srb8beforeI:join(3123163..3125057,3125099..3126310,3126356..3126631,3126671..3126989)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPAC6G9.16cafterI:complement(join(3278951..3279367,3279420..3279539,3279683..3279819,3279865..3279985))Solexa transcript dataPMID:18488015
SPAC6G9.16cbeforeI:complement(3278951..3279349)Solexa transcript dataPMID:18488015
SPAC823.04afterI:join(2587729..2587897,2588085..2588620)Solexa intron data; changed first intron acceptor, which gave a different N-term exon and improved homologyPMID:18488015
SPAC823.04beforeI:join(2587859..2587897,2588090..2588620)Solexa intron data; changed first intron acceptor, which gave a different N-term exon and improved homologyPMID:18488015
SPAPB17E12.08afterI:join(1279573..1279644,1279820..1279869,1279953..1280325)Solexa intron data; revised intron structure/original intron absent from Solexa data so small N-term exon deletedPMID:18488015
SPAPB17E12.08beforeI:join(1279492..1279506,1279582..1279644,1279820..1279869,1279953..1280325)Solexa intron data; revised intron structure/original intron absent from Solexa data so small N-term exon deletedPMID:18488015
SPAPB1A10.03nxt1afterI:join(1863363..1863381,1863434..1863762)Solexa intron data; SPAPB1A10.03 split to create SPAPB1A10.03 and SPAPB1A10.16; new coordinates 1863363..1863381, 1863434..1863762 and 1863972..1864388PMID:18488015
SPAPB1A10.03nxt1beforeI:join(1863363..1863381,1863434..1863705,1864077..1864388)Solexa intron data; SPAPB1A10.03 split to create SPAPB1A10.03 and SPAPB1A10.16; new coordinates 1863363..1863381, 1863434..1863762 and 1863972..1864388PMID:18488015
SPAPB1A10.15afterI:join(1892554..1892640,1892926..1893060,1893098..1893694)Solexa intron data; revised intron structure/original intron absent from Solexa data so small C-term exon deletedPMID:18488015
SPAPB1A10.15beforeI:join(1892554..1892640,1892926..1893060,1893098..1893504,1893585..1893618)Solexa intron data; revised intron structure/original intron absent from Solexa data so small C-term exon deletedPMID:18488015
SPBC11B10.03cog8afterII:1490611..1491747Solexa intron data; removed N-teminal exon, poor donor, did not improve homologyPMID:18488015
SPBC11B10.03cog8beforeII:join(1490376..1490423,1490593..1491747)Solexa intron data; removed N-teminal exon, poor donor, did not improve homologyPMID:18488015
SPBC1604.17cafterII:join(3900047..3900121,3900166..3901170,3901219..3901542)Solexa intron data; updated, better donor (GTAATA instead of GTTAGT); original intron prediction not supported by Solexa dataPMID:18488015
SPBC1604.17cbeforeII:join(3900047..3900121,3900166..3901146,3901219..3901542)Solexa intron data; updated, better donor (GTAATA instead of GTTAGT); original intron prediction not supported by Solexa dataPMID:18488015
SPBC16A3.14afterII:complement(4271131..4271937)Solexa intron data; removed final exon, unsupported by dataPMID:18488015
SPBC16A3.14beforeII:complement(join(4270907..4270939,4271137..4271937))Solexa intron data; removed final exon, unsupported by dataPMID:18488015
SPBC16D10.10afterII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618971,3619077..3619321,3619366..3619540)Solexa intron data; exon 4 splice alteredPMID:18488015
SPBC16D10.10beforeII:join(3618117..3618179,3618228..3618617,3618658..3618702,3618747..3618920,3619065..3619321,3619366..3619540)Solexa intron data; exon 4 splice alteredPMID:18488015
SPBC16H5.04afterII:complement(join(2293393..2293775,2293877..2294039,2294087..2294125))Solexa intron data; altered intron 2 donor and acceptor, improved homologyPMID:18488015
SPBC16H5.04beforeII:complement(join(2293393..2293824,2293938..2294039,2294087..2294125))Solexa intron data; altered intron 2 donor and acceptor, improved homologyPMID:18488015
SPBC19G7.06mbx1afterII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360001..2361092)Christopher J. McInerny
SPBC19G7.06mbx1beforeII:join(2359429..2359479,2359547..2359693,2359845..2359928,2360064..2361092)Christopher J. McInerny
SPBC21B10.02afterII:complement(1669719..1670144)Solexa intron data; intron unsupported by Solexa transcript data, removed final exonPMID:18488015
SPBC21B10.02beforeII:complement(join(1669624..1669695,1669737..1670144))Solexa intron data; intron unsupported by Solexa transcript data, removed final exonPMID:18488015
SPBC21C3.07cafterII:complement(join(3807920..3808607,3808665..3808795))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPBC21C3.07cbeforeII:complement(join(3807714..3807783,3807963..3808607,3808665..3808795))Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPBC29A3.07cafterII:complement(join(2050258..2050358,2050452..2050695))Solexa intron data; final exon deleted, not supported by Solexa intron data; homology improvedPMID:18488015
SPBC29A3.07cbeforeII:complement(join(2050069..2050183,2050304..2050358,2050452..2050695))Solexa intron data; final exon deleted, not supported by Solexa intron data; homology improvedPMID:18488015
SPBC354.07cafterII:complement(join(558335..559225,559273..559474,559942..560028,560151..560163,560231..560246))Solexa transcript data; additional exon addedPMID:18488015
SPBC354.07cbeforeII:complement(join(558335..559225,559273..559474,559942..560028,560151..560170))Solexa transcript data; additional exon addedPMID:18488015
SPBPB2B2.07cafterII:complement(join(4474145..4474403,4474438..4474931))Solexa transcript dataPMID:18488015
SPBPB2B2.07cbeforeII:complement(4474434..4474931)Solexa transcript dataPMID:18488015
SPCC1442.13cafterIII:complement(1791346..1791909)Solexa intron data; deleted final exon, improved homologyPMID:18488015
SPCC1442.13cbeforeIII:complement(join(1791196..1791285,1791376..1791909))Solexa intron data; deleted final exon, improved homologyPMID:18488015
SPCC1450.09cafterIII:complement(1741588..1743459)Solexa intron data; original intron absent from Solexa data; C terminal exon unsupported so exon deletedPMID:18488015
SPCC1450.09cbeforeIII:complement(join(1741451..1741481,1741589..1743459))Solexa intron data; original intron absent from Solexa data; C terminal exon unsupported so exon deletedPMID:18488015
SPCC1494.02ctaf13afterIII:complement(join(2318335..2318508,2318579..2318676,2318903..2318966))Solexa intron data; 2 C-terminal exons removed, not supported by homologyPMID:18488015
SPCC1494.02ctaf13beforeIII:complement(join(2317988..2318068,2318200..2318244,2318398..2318508,2318579..2318676,2318903..2318966))Solexa intron data; 2 C-terminal exons removed, not supported by homologyPMID:18488015
SPCC18.18cfum1afterIII:complement(join(1988631..1990100,1990630..1990722))Solexa transcript dataPMID:18488015
SPCC18.18cfum1beforeIII:complement(1988631..1990079)Solexa transcript dataPMID:18488015
SPCC622.14afterIII:join(1427098..1427310,1427632..1427709,1427788..1428216,1428277..1428522)Solexa intron data; altered donor for intron 3, improved donor consensusPMID:18488015
SPCC622.14beforeIII:join(1427098..1427310,1427632..1427709,1427788..1428180,1428277..1428522)Solexa intron data; altered donor for intron 3, improved donor consensusPMID:18488015
SPCC736.05wtf7afterIII:join(320617..320755,320964..321335,321387..321523)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPCC736.05wtf7beforeIII:join(320617..320755,320964..321335,321387..321509,321554..321582)Solexa intron data; removed final exon, not supported by dataPMID:18488015
SPCC1020.11cafterIII:join(757365..757424,757506..757802)Solexa transcript dataPMID:18488015
SPCC1020.11cbeforeIII:757494..757802Solexa transcript dataPMID:18488015
SPCC1529.01afterIII:join(237554..237923,237975..238080,238139..238533,238588..239092,239151..239250)Solexa transcript data; new exon addedPMID:18488015
SPCC1529.01beforeIII:join(237554..237923,237975..238080,238139..238533,238588..239105)Solexa transcript data; new exon addedPMID:18488015
SPBC725.04afterII:join(1208965..1210626,1210660..1210722)
SPBC725.04beforeII:join(1208965..1210626,1210678..1210722)
SPAC22F8.07crtf1afterI:complement(join(4797267..4797376,4797424..4797575,4797621..4797953,4797992..4798103,4798143..4798230,4798276..4798442,4798490..4798928))Two in-frame splices addedEMBL:AJ627891
SPAC22F8.07crtf1beforeI:complement(join(4797267..4797376,4797424..4797953,4797992..4798103,4798143..4798442,4798490..4798928))Two in-frame splices addedEMBL:AJ627891
SPAC23C4.04cafterI:1036033..1036347altered to include stop codon and trimmed to methioninepers. comm. Val Wood
SPAC23C4.04cbeforeI:1036027..1036344altered to include stop codon and trimmed to methioninepers. comm. Val Wood
SPAC9E9.02afterI:complement(4435617..4435913)altered to include stop codonpers. comm. Val Wood
SPAC9E9.02beforeI:complement(4435620..4435913)altered to include stop codonpers. comm. Val Wood
SPCC338.03cafterIII:1368919..1369344
SPCC338.03cbeforeIII:1368919..1369341
SPAC11D3.11cafterI:complement(join(127165..129059,129103..129127,129172..129185))
SPAC11D3.11cbeforeI:complement(join(127165..128028,128028..129059,129103..129127,129172..129185))
SPAPB24D3.05cafterI:complement(2954989..2955350)
SPAPB24D3.05cbeforeI:complement(join(2954989..2955225,2955225..2955350))
SPBCPT2R1.07cafterII:complement(4523274..4524970)
SPBCPT2R1.07cbeforeII:complement(join(4523274..4524496,4524496..4524970))
SPCC18B5.02cafterIII:complement(717851..718869)
SPCC18B5.02cbeforeIII:complement(join(717851..718698,718698..718869))
SPAC29E6.04afterI:join(4409773..4410192,4410194..4410391)Sequence frameshifted at 4410192, new coordinates give an N terminal extension from 4410194..4410391 (NOTE: Still needs resequencing and underlying sequence changing)PMID:17035632
SPAC29E6.04beforeI:4409773..4410210Sequence frameshifted at 4410192, new coordinates give an N terminal extension from 4410194..4410391 (NOTE: Still needs resequencing and underlying sequence changing)PMID:17035632
SPAC13G7.07afterI:join(2309026..2309212,2309259..2309569,2309610..2309667,2309714..2309958)changed second exon 3’ boundary and added C-terminal exonsPMID:17310250
SPAC13G7.07beforeI:join(2309026..2309212,2309259..2309650)changed second exon 3’ boundary and added C-terminal exonsPMID:17310250
SPAC4H3.06afterI:join(3837449..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPAC4H3.06beforeI:join(3837431..3837519,3837568..3837751,3837811..3837890,3837940..3838000)
SPBP22H7.09cmis15afterII:complement(join(1449715..1450274,1450328..1450690,1450749..1451055))updated sequence coordinatesPMID:15369671
SPBP22H7.09cmis15beforeII:complement(join(1449715..1450282,1450330..1450690,1450749..1451055))updated sequence coordinatesPMID:15369671
SPAPB17E12.08afterI:join(1280392..1280406,1280482..1280544,1280720..1280769,1280853..1281225)Improved homologypers. comm. Val Wood
SPAPB17E12.08beforeI:join(1280751..1280773,1280853..1281225)Improved homologypers. comm. Val Wood
SPCC1223.10ceaf1afterIII:complement(join(1861667..1862158,1862283..1862369,1862535..1862626,1862729..1862813))Added exonsPMID:17150956
SPCC1223.10cbeforeIII:complement(join(1861667..1862158,1862283..1862369,1862729..1862749))Added exonsPMID:17150956
SPCC18.01cafterIII:complement(1949478..1952873)
SPCC18.01cbeforeIII:complement(1949478..1952744)
SPBC30B4.08afterII:join(1321592..1321719,1321797..1321904,1321966..1322371,1322434..1322733)gene structure updatedPMID:16797182
SPBC30B4.08beforeII:join(1321592..1321719,1321966..1322371,1322434..1322733)gene structure updatedPMID:16797182
SPCC18.01cafterIII:complement(1949478..1952744)
SPCC18.01cbeforeIII:complement(1949478..1952873)
SPBC409.12cafterII:complement(join(1162796..1163565,1163720..1163818,1163874..1163982))N-terminal extended by 2 exonspers. comm. C. Chahwan
SPBC409.12cbeforeII:complement(1162796..1163485)N-terminal extended by 2 exonspers. comm. C. Chahwan
SPAC1556.06beforeI:join(3803451..3805487,3805561..3805854)
SPAC1556.06beforeI:join(3805482..3805487,3805561..3805854)
SPAC12D12.09afterII:join(2315344..2315374,2315424..2315450,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316007,2316077..2316276)truncated penultimate exon to remove GIN and added new exon to insert KCIDIFGEFpers. comm. Nicole Kosarek
SPAC12D12.09beforeII:join(2315344..2315374,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316016,2316077..2316276)truncated penultimate exon to remove GIN and added new exon to insert KCIDIFGEFpers. comm. Nicole Kosarek
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167643..1167667,1167715..1168223,1168273..1168737)
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPAC1556.06afterI:join(3803451..3805487,3805561..3805854)
SPAC1556.06afterI:join(3805482..3805487,3805561..3805854)
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167643..1167667,1167715..1168223,1168273..1168737)
SPAC1556.06beforeI:join(3803451..3805487,3805561..3805854)
SPAC1556.06beforeI:join(3805482..3805487,3805561..3805854)
SPAC21E11.05cafterI:complement(join(4256629..4257052,4257118..4258032,4258173..4258384))
SPAC21E11.05cbeforeI:complement(join(4256629..4257052,4257118..4258032,4258173..4258234,4258314..4258328))
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167643..1167667,1167715..1168223,1168273..1168737)Improves Homologypers. comm. Val Wood
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)Improves Homologypers. comm. Val Wood
SPAC1556.06afterI:join(3803451..3805487,3805561..3805854)
SPAC1556.06afterI:join(3805482..3805487,3805561..3805854)
SPAC21E11.05cafterI:complement(join(4256629..4257052,4257118..4258032,4258173..4258234,4258314..4258328))Single base insertion allowed first 2 exons to be merged and extended (GAGT[G]GCA)pers. comm. Trevor Pemberton (via Ivo Pedruzzi, UniProt)
SPAC21E11.05cbeforeI:complement(join(4255729..4256152,4256218..4257132,4257273..4257484))Single base insertion allowed first 2 exons to be merged and extended (GAGT[G]GCA)pers. comm. Trevor Pemberton (via Ivo Pedruzzi, UniProt)
SPAPB17E12.08afterI:join(1280751..1280773,1280853..1281225)
SPAPB17E12.08beforeI:join(1279492..1279506,1279582..1279644,1279820..1279869,1279953..1280325)
SPAC12D12.09afterII:join(2315344..2315374,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316016,2316077..2316276)
SPAC12D12.09beforeII:join(2313544..2313574,2313624..2313650,2313694..2313744,2313785..2313897,2313940..2314055,2314104..2314207,2314277..2314476)
SPBC30B4.08afterII:join(1321592..1321719,1321966..1322371,1322434..1322733)
SPBC30B4.08beforeII:join(1320692..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC409.12cafterII:complement(1162796..1163485)
SPBC409.12cbeforeII:complement(join(1161896..1162665,1162820..1162918,1162974..1163082))
SPBP22H7.09cmis15afterII:complement(join(1449715..1450282,1450330..1450690,1450749..1451055))
SPBP22H7.09cmis15beforeII:complement(join(1448815..1449374,1449428..1449790,1449849..1450155))
SPCC1223.10cafterIII:complement(join(1861667..1862158,1862283..1862369,1862729..1862749))
SPCC1223.10ceaf1beforeIII:complement(join(1860767..1861258,1861383..1861469,1861635..1861726,1861829..1861913))
SPCC4B3.05chem12afterIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPCC4B3.05chem12beforeIII:join(1166571..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)
SPAC1556.06beforeI:join(3803451..3805487,3805561..3805854)
SPAC1556.06beforeI:join(3805482..3805487,3805561..3805854)
SPAC1D4.11cafterI:complement(656760..658832)lengthened to 690 a.a.PMID:12565823
SPAC1D4.11cbeforeI:complement(657660..659387)lengthened to 690 a.a.PMID:12565823
SPAC21E11.05cafterI:complement(join(4255729..4256152,4256218..4257132,4257273..4257484))
SPAC21E11.05cbeforeI:complement(join(4256629..4257052,4257118..4258032,4258173..4258234,4258314..4258328))
SPAC6G9.13cbqt1afterI:complement(join(3272150..3272265,3272417..3272699))Additional C terminal exonPMID:16615890
SPAC6G9.13cbqt1beforeI:complement(3273294..3273599)Additional C terminal exonPMID:16615890
SPAC9.05afterI:join(1471060..1472508,1472554..1473383,1473440..1473665)second intron acceptor extended by 15 bppers. comm. Anke Schürer
SPAC9.05beforeI:join(1471960..1473408,1473454..1474283,1474325..1474565)second intron acceptor extended by 15 bppers. comm. Anke Schürer
SPAPB17E12.08afterI:join(1279492..1279506,1279582..1279644,1279820..1279869,1279953..1280325)
SPAPB17E12.08beforeI:join(1280751..1280773,1280853..1281225)
SPAC12D12.09afterII:join(2313544..2313574,2313624..2313650,2313694..2313744,2313785..2313897,2313940..2314055,2314104..2314207,2314277..2314476)
SPAC12D12.09beforeII:join(2315344..2315374,2315494..2315544,2315585..2315697,2315740..2315855,2315904..2316016,2316077..2316276)
SPBC16E9.16cafterII:complement(join(1947985..1949069,1949218..1950058,1950253..1950255))
SPBC16E9.16cbeforeII:complement(join(1949785..1950717,1950716..1951858,1952053..1952055))
SPBC30B4.08afterII:join(1320692..1320819,1320897..1321004,1321066..1321471,1321534..1321833)
SPBC30B4.08beforeII:join(1321592..1321719,1321966..1322371,1322434..1322733)
SPBC3B9.22cdad4afterII:complement(join(4006057..4006170,4006230..4006334))added new C-terminal exon based on Pfam protein familyPfam
SPBC3B9.22cdad4beforeII:complement(4007982..4008134)added new C-terminal exon based on Pfam protein familyPfam
SPBC409.12cafterII:complement(join(1161896..1162665,1162820..1162918,1162974..1163082))
SPBC409.12cbeforeII:complement(1162796..1163485)
SPBCPT2R1.08cafterII:4526885..4532644truncated to 1919 a.a.; removed truncated version of a malate transporter fused to gene, not known whether these residues are included in translationpers. comm. Liew Li Phing
SPBCPT2R1.08cbeforeII:4528142..4534444truncated to 1919 a.a.; removed truncated version of a malate transporter fused to gene, not known whether these residues are included in translationpers. comm. Liew Li Phing
SPBP22H7.09cmis15afterII:complement(join(1448815..1449374,1449428..1449790,1449849..1450155))
SPBP22H7.09cmis15beforeII:complement(join(1449715..1450282,1450330..1450690,1450749..1451055))
SPCC1223.10ceaf1afterIII:complement(join(1860767..1861258,1861383..1861469,1861635..1861726,1861829..1861913))
SPCC1223.10cbeforeIII:complement(join(1861667..1862158,1862283..1862369,1862729..1862749))
SPCC4B3.05chem12afterIII:join(1166571..1166604,1166662..1166696,1166743..1166767,1166815..1167323,1167373..1167837)
SPCC4B3.05chem12beforeIII:join(1167471..1167504,1167562..1167596,1167645..1168223,1168273..1168737)
SPCC4G3.05cafterIII:join(462720..462815,462984..464714)added N terminal exonpers. comm. Fred Kippert
SPCC4G3.05cbeforeIII:462996..464714added N terminal exonpers. comm. Fred Kippert
SPAC17H9.20afterI:join(2037303..2037567,2037613..2037725,2037764..2037859,2037908..2038317,2038368..2039967,2040016..2040420)added intron at 37250..37297PMID:16207082
SPAC17H9.20beforeI:join(2037303..2037567,2037613..2037725,2037764..2038317,2038368..2039967,2040016..2040420)added intron at 37250..37297PMID:16207082
SPAC31G5.06afterI:join(2997204..2997303,2997354..2997958)added N-teminal exon to extend predictionpers. comm. Val Wood
SPAC31G5.06beforeI:2997521..2997958added N-teminal exon to extend predictionpers. comm. Val Wood
SPAC9E9.17cafterI:complement(join(4438210..4438300,4438505..4438547,4438631..4438712,4438759..4438761))
SPAC9E9.17cbeforeI:complement(join(4438210..4438300,4438505..4438584))
SPCC1223.15cspc19afterIII:complement(join(1847115..1847513,1847563..1847605,1847646..1847662))4 amino acid extension at N-terminusPMID:16079914
SPCC1223.15cspc19beforeIII:complement(join(1847115..1847513,1847563..1847605,1847658..1847662))4 amino acid extension at N-terminusPMID:16079914
SPAC1093.04cafterI:complement(join(4617361..4617522,4617567..4618180,4618252..4618834,4618896..4619039))
SPAC1093.04cbeforeI:complement(join(4617361..4617522,4617567..4618180,4618252..4618834,4618896..4619141))
SPAC12G12.13cafterI:322824..324878
SPAC12G12.13cbeforeI:323028..324878
SPAC16A10.06cnse2afterI:complement(join(3090483..3090896,3091012..3091185,3091433..3091597))
SPAC16A10.06cbeforeI:complement(join(3090483..3090947,3091012..3091185,3091433..3091597))
SPAC16E8.10cafterI:complement(join(3519794..3520039,3520127..3520660))
SPAC16E8.10cbeforeI:complement(join(3519794..3520039,3520127..3520606))
SPAC26H5.02cafterI:complement(join(4118187..4118285,4118326..4119100,4119145..4119162,4119208..4119238,4119282..4119873))second intron extended to 115 ntpers. comm. Val Wood
SPAC26H5.02cbeforeI:complement(join(4118248..4119100,4119145..4119162,4119208..4119238,4119282..4119873))second intron extended to 115 ntpers. comm. Val Wood
SPAC3F10.11cafterI:complement(2838168..2842559)
SPAC3F10.11cbeforeI:complement(2838168..2842604)
SPBC20F10.04cnse4afterII:complement(join(3291266..3291358,3291406..3291497,3291543..3291762,3291801..3291894,3291938..3292196,3292241..3292321,3292365..3292428))
SPBC20F10.04cbeforeII:complement(join(3291517..3291762,3291801..3291894,3291938..3292196,3292231..3292324,3292360..3292428))
SPBC30D10.04afterII:complement(join(3092724..3093102,3093161..3093327))
SPBC30D10.04beforeII:complement(3092724..3093170)
SPBC646.06cagn2afterII:complement(933681..934982)
SPBC646.06cagn2beforeII:complement(933759..934982)
SPCC550.05afterIII:join(1195097..1195675,1195724..1195843)
SPCC550.05beforeIII:1195097..1195708
SPCC553.07cafterIII:join(293444..293936,293976..294415,294462..294974,295021..295218)
SPCC553.07cbeforeIII:join(293444..293936,293976..294415,294462..295010)
SPAC1002.01afterI:join(1799247..1799730,1799860..1799915)
SPAC1002.01beforeI:1799247..1799735
SPAC14C4.09agn1afterI:5245106..5246380
SPAC14C4.09beforeI:5239924..5241132
SPAC16A10.04afterI:join(3087938..3087971,3088027..3088068,3088130..3088176,3088284..3088487,3088604..3088738,3088795..3088944)
SPAC16A10.04beforeI:join(3087939..3087957,3088028..3088069,3088131..3088177,3088285..3088488,3088605..3088739,3088796..3088945)
SPAC27D7.12cafterI:complement(4534416..4535147)extended N-terminal to use first MET as startPMID:14623327
SPAC27D7.12cbeforeI:complement(4529168..4529698)extended N-terminal to use first MET as startPMID:14623327
SPAC29B12.08afterI:join(5429685..5429782,5430021..5431971)new N-terminal exonpers. comm. Aengus Stewart
SPAC29B12.08beforeI:5425074..5426723new N-terminal exonpers. comm. Aengus Stewart
SPAC959.05cafterI:complement(join(3396585..3398227,3398283..3398538))extended N-terminal to first methioninepers. comm. Val Wood
SPAC959.05cbeforeI:complement(join(3396586..3398228,3398284..3398335))extended N-terminal to first methioninepers. comm. Val Wood
SPBC106.05ctim11afterII:complement(join(384427..384512,384603..384774,384880..384912))
SPBC106.05cbeforeII:complement(join(384427..384512,384603..384732))
SPBC15D4.02afterII:3015118..3016377trimmed N terminal 28.10.03; looked overextended as large low complexity region in front in zinc finger which is usually N-term; alignment looks betterpers. comm. Val Wood
SPBC15D4.02beforeII:3014734..3016377trimmed N terminal 28.10.03; looked overextended as large low complexity region in front in zinc finger which is usually N-term; alignment looks betterpers. comm. Val Wood
SPBC16D10.07cafterII:complement(join(3611446..3612074,3612139..3612575,3612661..3612692,3612823..3612905,3612947..3613009,3613173..3613356))
SPBC16D10.07cbeforeII:complement(join(3611446..3612074,3612139..3612575,3612661..3612692,3612823..3612905,3612947..3613024,3613173..3613329))
SPBC25H2.10cafterII:join(3268815..3268886,3268994..3269104,3269155..3269311,3269397..3269602,3269652..3269795,3269848..3270021)
SPBC25H2.10cbeforeII:join(3268902..3268932,3268989..3269104,3269155..3269311,3269397..3269602,3269652..3269795,3269848..3270021)
SPBC30B4.01cafterII:complement(1300391..1301515)
SPBC30B4.01cbeforeII:complement(1300391..1301425)
SPBC428.01cafterII:complement(join(440174..442087,442129..442237,442292..442384,442441..442567,442618..442651,442693..442740,442816..442875))
SPBC428.01cbeforeII:complement(join(440174..442087,442129..442237,442292..442384,442441..442567,442618..442651,442693..442732,442816..442841))
SPCC1235.15afterIII:join(215424..215600,215850..216078,216187..216498,216591..216910)
SPCC1235.15beforeIII:join(215424..215600,215850..216078,216187..216509,216590..216910)
SPCC622.17afterIII:join(1436449..1436750,1436823..1437549)
SPCC622.17beforeIII:1436449..1437549
SPCC777.02afterIII:join(1599881..1599954,1600167..1600191,1600274..1602073)
SPCC777.02beforeIII:join(1599881..1599889,1600274..1602073)
SPAC1093.03afterI:join(4609278..4609337,4609374..4609732,4609803..4610029,4610089..4610605,4610647..4611982)
SPAC1093.03beforeI:4659816..4662520
SPAC11E3.03afterI:join(5281940..5282213,5282257..5282472,5282528..5282706)N terminal truncated, removed exon 9067..9103, truncated from 9149 to 9211 startPMID:12689592
SPAC11E3.03beforeI:join(5332334..5332370,5332416..5332751,5332795..5333010,5333066..5333244)N terminal truncated, removed exon 9067..9103, truncated from 9149 to 9211 startPMID:12689592
SPAC16A10.04afterI:join(3087939..3087957,3088028..3088069,3088131..3088177,3088285..3088488,3088605..3088739,3088796..3088945)N-terminal exon replacedPMID:12653963
SPAC16A10.04beforeI:join(3138406..3138445,3138566..3138607,3138669..3138715,3138823..3139026,3139143..3139277,3139334..3139483)N-terminal exon replacedPMID:12653963
SPAC186.04cafterI:complement(5534225..5534668)
SPAC186.04cbeforeI:complement(5584763..5585290)
SPAC1952.04cafterI:complement(join(4967785..4967876,4968004..4968020,4968081..4968313,4968503..4968637))
SPAC1952.04cbeforeI:complement(join(5018323..5018414,5018542..5018558,5018619..5018929))
SPAC19B12.06cafterI:complement(join(4889750..4890056,4890100..4890165,4890271..4890487,4890538..4890724))added exon 18153..18218pers. comm. Val Wood
SPAC19B12.06cbeforeI:complement(join(4940288..4940594,4940809..4941025,4941076..4941262))added exon 18153..18218pers. comm. Val Wood
SPAC212.05cafterI:20824..21015
SPAC212.05cbeforeI:complement(5634971..5635159)
SPAC22F3.03cafterI:join(704689..704867,704915..705013,705105..705180,705222..705436,705473..705663,705716..705789,705825..705956,705995..706058,706095..706193,706233..706390,706429..706501,706537..707152,707192..707261,707304..707552,707588..707728)4th exon extended by altering acceptor in intron 3 cosmid coordinates 34092-33923pers. comm. Mike Catlett
SPAC22F3.03cbeforeI:join(755227..755405,755453..755551,755643..755718,755889..755974,756011..756201,756254..756327,756363..756494,756533..756596,756633..756731,756771..756928,756967..757039,757075..757690,757730..757799,757842..758090,758126..758266)4th exon extended by altering acceptor in intron 3 cosmid coordinates 34092-33923pers. comm. Mike Catlett
SPAC23C4.08afterI:join(1042435..1042498,1042573..1042645,1042970..1043450)N-terminal exon removedPMID:12653963
SPAC23C4.08beforeI:join(1092825..1092841,1092981..1093036,1093111..1093183,1093508..1093988)N-terminal exon removedPMID:12653963
SPAC29A4.14cafterI:join(5115324..5115481,5115538..5115984,5116092..5116527)N-terminal extendedpers. comm. Val Wood
SPAC29A4.14cbeforeI:join(5166209..5166522,5166630..5167065)N-terminal extendedpers. comm. Val Wood
SPAC2E12.05wtf1afterI:5059956..5061882
SPAC2E12.05beforeI:5110970..5112025
SPAC31G5.07afterI:2998354..2999058N terminal extended to use longest ORF in the absence of homologypers. comm. Henar Valdivieso Montero
SPAC31G5.07beforeI:3049060..3049596N terminal extended to use longest ORF in the absence of homologypers. comm. Henar Valdivieso Montero
SPBC1347.05cafterII:complement(join(4071085..4071134,4071190..4072166,4072222..4072340))new C-terminal exonpers. comm. Val Wood
SPBC1347.05cbeforeII:complement(join(3989924..3990965,3991021..3991139))new C-terminal exonpers. comm. Val Wood
SPBC19G7.18cafterII:complement(join(2373872..2374411,2374458..2374528,2374577..2374724))
SPBC19G7.18cbeforeII:complement(2292671..2293099)
SPBC530.06cafterII:complement(join(800042..801738,801740..803551,803739..803751))
SPBC530.06cbeforeII:complement(join(718841..720537,720536..722350,722538..722550))
SPBC577.05cafterII:complement(join(758466..758646,758696..758851,759030..759097))
SPBC577.05cbeforeII:complement(join(677271..677445,677495..677650,677829..677896))
SPBC6B1.09cafterII:complement(join(2650545..2650808,2650855..2652023,2652066..2652145,2652185..2652333,2652438..2652526,2652565..2652618,2652678..2652714))additional intron 25664..25705, and exon extension 25974..25988pers. comm. Charly Chahwan
SPBC6B1.09cbeforeII:complement(join(2569344..2569607,2569654..2570944,2570984..2571147,2571237..2571325,2571364..2571417,2571477..2571513))additional intron 25664..25705, and exon extension 25974..25988pers. comm. Charly Chahwan
SPBP23A10.04afterII:join(2002935..2004170,2004215..2004834,2004880..2005069)coordinates updated additional in-frame splice at 5325, 5371pers. comm. Hyun-Joo Yoon
SPBP23A10.04beforeII:join(1921734..1922969,1923014..1923868)coordinates updated additional in-frame splice at 5325, 5371pers. comm. Hyun-Joo Yoon
SPCC320.13cafterIII:141662..142729trimmed to 2nd MetPMID:12676091
SPCC320.13cbeforeIII:141575..142729trimmed to 2nd MetPMID:12676091
SPAC1296.04afterI:join(766918..766973,767021..767159,767432..767584,767661..768059)has 2 additional N-terminal exonspers. comm. Val Wood
SPAC1296.04beforeI:join(745694..745822,745899..746297)has 2 additional N-terminal exonspers. comm. Val Wood
SPAC23C11.10afterI:join(2202062..2202182,2202222..2202320,2202368..2202566,2202618..2202780,2202824..2203039)found 3 additional C-terminal exons by eyepers. comm. Val Wood
SPAC23C11.10beforeI:join(2180300..2180420,2180460..2180581)found 3 additional C-terminal exons by eyepers. comm. Val Wood
SPAC2F3.13cafterI:complement(join(3995247..3996111,3996187..3996368))annotated as SPAC2F3.13c putative tRNA-ribosyltransferase, but actually a gene merge. Split to create SPAC2F3.13c the tRNA-ribosyltransferase and new CDS SPAC2F3.17c was created from the C-terminalpers. comm. Val Wood
SPAC2F3.13cafterI:complement(join(3995247..3996111,3996187..3996368))split to create SPAC2F3.13c and SPAC2F3.12cpers. comm. Val Wood
SPAC2F3.13cbeforeI:complement(join(3972358..3972669,3972711..3972786,3972835..3972921,3972966..3973118,3973163..3973474,3973522..3974349,3974425..3974606))annotated as SPAC2F3.13c putative tRNA-ribosyltransferase, but actually a gene merge. Split to create SPAC2F3.13c the tRNA-ribosyltransferase and new CDS SPAC2F3.17c was created from the C-terminalpers. comm. Val Wood
SPAC2F3.13cbeforeI:complement(join(3972358..3972669,3972711..3972786,3972835..3972921,3972966..3973118,3973163..3973474,3973522..3974349,3974425..3974606))split to create SPAC2F3.13c and SPAC2F3.12cpers. comm. Val Wood
SPAC2F3.17cafterI:complement(join(3994120..3994431,3994473..3994548,3994597..3994683,3994728..3994880,3994925..3995136))
SPAC2F3.17cbeforeI:complement(3966826..3967158)
SPAPYUG7.06afterI:4800372..4800977
SPAPYUG7.06beforeI:4779741..4780316
SPBPB21E7.01cafterI:complement(58324..59646)
SPBPB21E7.01cbeforeI:complement(58324..58439)
SPBC1604.17cafterII:join(3820646..3820720,3820765..3821745,3821818..3822141)pers. comm. Val Wood
SPBC1604.17cbeforeII:join(3820235..3820261,3820765..3821745,3821818..3822141)pers. comm. Val Wood
SPBC6B1.09cafterII:complement(join(2569344..2569607,2569654..2570944,2570984..2571147,2571237..2571325,2571364..2571417,2571477..2571513))prediction extended by 4 N- terminal exons, this identified FHA domainpers. comm. Val Wood
SPBC6B1.09cbeforeII:complement(join(2569344..2569607,2569654..2570901))prediction extended by 4 N- terminal exons, this identified FHA domainpers. comm. Val Wood
SPCC1442.13cafterIII:complement(join(1792096..1792185,1792276..1792809))C terminal exon added; new exon extends G-patch domainpers. comm. Val Wood
SPCC1442.13cbeforeIII:complement(1792246..1792809)C terminal exon added; new exon extends G-patch domainpers. comm. Val Wood
SPCC622.21afterIII:join(1402430..1402568,1402800..1403072,1403390..1403451,1403453..1403572)
SPCC622.21beforeIII:join(1402430..1402568,1402800..1403072,1403191..1403315,1403392..1403451,1403453..1403569)
SPCC777.02afterIII:join(1599881..1599889,1600274..1602073)
SPCC777.02beforeIII:1600406..1602073
SPAC1006.05cafterI:complement(5104714..5105904)
SPAC1006.05cbeforeI:complement(5071493..5072593)
SPAC1610.03cafterI:complement(join(1822269..1823627,1823699..1824173,1824265..1824442,1824528..1824648))
SPAC1610.03cbeforeI:complement(join(1803017..1804375,1804447..1804972,1805013..1805190,1805276..1805396))
SPAC1D4.11cafterI:complement(686436..688163)
SPAC1D4.11cbeforeI:complement(667184..669256)
SPAPB15E9.01cafterI:complement(4011667..4014777)
SPAPB15E9.01cbeforeI:complement(3980427..3982657)
SPAPB17E12.14cafterI:complement(1316592..1318016)
SPAPB17E12.14cbeforeI:complement(1297340..1298953)
SPBC1348.14cafterI:complement(38587..39186)
SPBC1348.14cafterI:complement(38587..40143)
SPBC1348.14cbeforeI:complement(38587..39187)

RNA genes

DateSystematic idPrimary nameBefore / after changeCoordinatesCommentReference
SPNCRNA.105afterII:4071111..4071312
SPNCRNA.105beforeII:4071111..4071304
SPNCRNA.1597afterII:3391413..3393613
SPNCRNA.1597beforeII:3390915..3393891
SPNCRNA.1674afterII:4129796..4130288EMBL:AU011806
SPNCRNA.1674beforeII:4129574..4130925
SPNCRNA.5748prl102afterII:2626082..2626661PMID:28031482,PMID:29914874
SPNCRNA.5748beforeII:2625945..2626738PMID:29914874
SPNCRNA.1502afterII:2319366..2319746
SPNCRNA.1502beforeII:2319348..2319746
SPNCRNA.848afterI:2738681..2740459PMID:18488015
SPNCRNA.848beforeI:2738026..2740228
SPNCRNA.865afterI:2957775..2959658PMID:18488015
SPNCRNA.865beforeI:2956805..2959658
SPNCRNA.893afterI:3177931..3178309
SPNCRNA.893beforeI:3177931..3179269
SPNCRNA.985afterI:4400686..4401605PMID:18488015
SPNCRNA.985beforeI:4400708..4401528
SPSNORNA.42snR90afterI:complement(join(4936907..4937013,4937200..4937394))
SPSNORNA.42snR90beforeI:complement(4937170..4937394)
SPNCRNA.159afterI:776184..777243PMID:21511999
SPNCRNA.159beforeI:776272..777066
SPNCRNA.159beforeI:join(776272..776539,776589..776758,776829..777066)
SPSNRNA.06snu6afterI:complement(join(2562276..2562323,2562374..2562419))Jennifer Porat flagged itPMID:2909894
SPSNRNA.06snu6beforeI:complement(join(2562276..2562323,2562374..2562427))Jennifer Porat flagged itPMID:2909894
SPSNRNA.04snu4afterII:complement(467489..467615)Jennifer Porat flagged itPMID:2795654
SPSNRNA.04snu4beforeII:complement(467233..467361)Jennifer Porat flagged itPMID:2795654
SPNCRNA.214ter1afterI:complement(join(3084610..3084759,3084816..3086022))PMID:19052544
SPNCRNA.214ter1beforeI:complement(3084610..3086022)
SPRPTCENB.11cnt2.1afterII:1620807..1627609
SPRPTCENB.11cnt2.1beforeII:1620807..1624737
SPRRNA.01rnlaftermitochondrial:1..2827PMID:29954949
SPRRNA.01rnlbeforemitochondrial:1..2823
SPRRNA.02rnsaftermitochondrial:3133..4553PMID:29954949
SPRRNA.02rnsbeforemitochondrial:3132..4552
SPMITTRNAARG.01aftermitochondrial:9819..9890
SPMITTRNAARG.01beforemitochondrial:9818..9894
SPMITTRNAGLU.01aftermitochondrial:18406..18478
SPMITTRNAGLU.01beforemitochondrial:18404..18475
SPRRNA.01rnlaftermitochondrial:1..2823
SPRRNA.01rnlbeforemitochondrial:1..2822
SPRRNA.02rnsaftermitochondrial:3132..4552
SPRRNA.02rnsbeforemitochondrial:3131..4552
SPATRNAALA.06afterI:join(4796977..4797012,4797024..4797059)
SPATRNAALA.06beforeI:4796977..4797059
SPATRNAARG.01afterI:join(3443055..3443090,3443109..3443144)
SPATRNAARG.01beforeI:3443055..3443144
SPATRNAILE.02afterI:join(2578426..2578463,2578489..2578524)
SPATRNAILE.02beforeI:2578426..2578524
SPATRNALEU.01afterI:complement(join(1527088..1527133,1527144..1527181))
SPATRNALEU.01beforeI:complement(1527088..1527181)
SPATRNALEU.02afterI:complement(join(2802761..2802804,2802821..2802858))
SPATRNALEU.02beforeI:complement(2802761..2802858)
SPATRNALEU.03afterI:join(3591948..3591984,3592003..3592044)
SPATRNALEU.03beforeI:3591948..3592044
SPATRNALYS.01afterI:join(1704582..1704620,1704629..1704664)
SPATRNALYS.01beforeI:1704582..1704664
SPATRNALYS.05afterI:join(3086310..3086348,3086357..3086392)
SPATRNALYS.05beforeI:3086310..3086392
SPATRNAMET.02afterI:complement(join(1484979..1485014,1485024..1485061))
SPATRNAMET.02beforeI:complement(1484979..1485061)
SPATRNAPRO.02spl1afterI:complement(join(1314924..1314959,1314984..1315020))
SPATRNAPRO.02spl1beforeI:complement(1314924..1315020)
SPATRNASER.01afterI:join(1096369..1096405,1096422..1096466)
SPATRNASER.01beforeI:1096369..1096466
SPATRNATYR.01afterI:join(1746464..1746501,1746512..1746547)
SPATRNATYR.01beforeI:1746464..1746547
SPATRNAVAL.03afterI:complement(join(2214733..2214768,2214777..2214814))
SPATRNAVAL.03beforeI:complement(2214733..2214814)
SPATRNAVAL.04afterI:complement(join(3710739..3710774,3710784..3710821))
SPATRNAVAL.04beforeI:complement(3710739..3710821)
SPBTRNAMET.04afterII:join(658451..658488,658496..658531)
SPBTRNAMET.04beforeII:658451..658531
SPBTRNAVAL.06afterII:complement(join(1619174..1619209,1619219..1619256))
SPBTRNAVAL.06beforeII:complement(1619174..1619256)
SPCTRNALYS.10afterIII:join(1071093..1071131,1071140..1071175)
SPCTRNALYS.10beforeIII:1071093..1071175
SPCTRNASER.11sup9afterIII:join(1689713..1689749,1689765..1689809)
SPCTRNASER.11sup9beforeIII:1689713..1689809
SPNCRNA.103sme2afterII:complement(339346..340907)PMID:24920274
SPNCRNA.103sme2beforeII:complement(339346..340012)PMID:24920274
SPBC8E4.02cprt2afterII:4442542..4445970
SPBC8E4.02cprt2beforeII:4443155..4443544
SPNCRNA.1702prl104afterI:complement(5533986..5534754)
SPNCRNA.1702prl104beforeI:5533986..5534754
SPNCRNA.1706prl106afterIII:complement(935629..936790)
SPNCRNA.1706prl106beforeIII:935629..936790
SPNCRNA.1702prl104afterI:5533986..5534754
SPNCRNA.1702prl104beforeI:5533986..5534794
SPSNORNA.41snR46afterIII:complement(1717920..1718087)Switched from + strand to - strandpers. comm. Francois Bachand
SPSNORNA.41snR46beforeIII:1717920..1718087Switched from + strand to - strandpers. comm. Francois Bachand
SPNCRNA.287afterII:complement(21060..21754)PMID:21511999
SPNCRNA.287beforeII:21025..21701
SPNCRNA.291afterII:complement(103165..104528)PMID:21511999
SPNCRNA.291beforeII:103208..104381
SPNCRNA.293afterII:120577..121643PMID:21511999
SPNCRNA.293beforeII:120652..121497
SPNCRNA.316afterII:complement(591798..592612)PMID:21511999
SPNCRNA.316beforeII:591646..592613
SPATRNASER.03afterI:join(4265149..4265185,4265201..4265245)
SPATRNASER.03beforeI:4265149..4265245
SPSNORNA.25snoZ30afterII:2044411..2044505
SPSNORNA.25snoZ30beforeII:2044273..2044572
SPSNRNA.02snu2afterI:complement(959370..959556)
SPSNRNA.02snu2beforeI:complement(959370..959586)
SPSNRNA.02snu2afterI:complement(959370..959586)represents the actual functional RNAPMID:3244367,PMID:3244367
SPSNRNA.02snu2beforeI:complement(959305..959770)represents the actual functional RNAPMID:3244367
SPSNRNA.03snu3afterI:complement(987570..987825)represents the actual functional RNAPMID:3194197,PMID:3194197
SPSNRNA.03snu3beforeI:complement(987631..988266)represents the actual functional RNAPMID:3194197
SPSNRNA.06snu6afterI:complement(join(2562276..2562323,2562374..2562427))represents the actual functional RNAPMID:2909894,PMID:2909894
SPSNRNA.06snu6beforeI:complement(join(2562085..2562323,2562374..2562559))represents the actual functional RNAPMID:2909894
SPSNRNA.01snu1afterII:3020205..3020353represents the actual functional RNAPMID:2188102,PMID:2188102
SPSNRNA.01snu1beforeII:3019819..3020472represents the actual functional RNAPMID:2188102
SPSNRNA.04snu4afterII:complement(467233..467361)represents the actual functional RNAPMID:2795654,PMID:2795654
SPSNRNA.04snu4beforeII:complement(467025..467823)represents the actual functional RNAPMID:2795654
SPSNRNA.05snu5afterII:3236867..3236986represents the actual functional RNAPMID:2587274,PMID:2587274
SPSNRNA.05snu5beforeII:3236617..3237051represents the actual functional RNAPMID:2587274
SPSNRNA.07snu32afterII:complement(3958832..3959086)represents the actual functional RNAPMID:1560765,PMID:1560765
SPSNRNA.07snu32beforeII:complement(3958768..3959174)represents the actual functional RNAPMID:1560765
SPNCRNA.98srp7afterI:4268662..4268916represents the actual functional RNAPMID:2837764, PMID:16453822,PMID:16453822,PMID:2837764
SPNCRNA.98srp7beforeI:4268566..4269064represents the actual functional RNAPMID:2837764, PMID:16453822
SPNCRNA.84afterI:complement(3753160..3753692)
SPNCRNA.84beforeI:complement(3753160..3753489)
SPNCRNA.95afterI:3789400..3789948EMBL:AU010014,EMBL:FY093953
SPNCRNA.95beforeI:3789400..3789821EMBL:SPC0079
SPNCRNA.95afterI:3789400..3789821
SPNCRNA.95beforeI:3789585..3789948
SPNCRNA.1572afterII:3008602..3011490
SPNCRNA.1572beforeII:3008602..3011536
SPNCRNA.304afterII:complement(360439..363023)PMID:21511999
SPNCRNA.304beforeII:complement(360425..362854)
SPNCRNA.322afterII:674049..676227PMID:21511999
SPNCRNA.322beforeII:674078..676143
SPNCRNA.438afterII:complement(4194849..4196046)PMID:21511999
SPNCRNA.438beforeII:complement(4194849..4196008)
SPBTRNASER.06afterII:join(3350594..3350634,3350644..3350688)
SPBTRNASER.06beforeII:3350594..3350688
SPNCRNA.511afterIII:2011026..2012559PMID:21511999
SPNCRNA.511beforeIII:2011061..2012433
SPNCRNA.519afterIII:2362179..2362725PMID:21511999
SPNCRNA.519beforeIII:2362248..2362743
SPNCRNA.67prl67afterIII:1431135..1433068PMID:21511999
SPNCRNA.67prl67beforeIII:1432003..1432625
SPNCRNA.388afterII:2115592..2117167PMID:21511999
SPNCRNA.388beforeII:2115667..2117167
SPBTRNAARG.05afterII:complement(join(1160893..1160928,1160959..1160994))
SPBTRNAARG.05beforeII:complement(1160893..1160994)
SPBTRNALEU.05afterII:complement(join(1402444..1402487,1402504..1402541))
SPBTRNALEU.05beforeII:complement(1402444..1402541)
SPBTRNALEU.06afterII:complement(join(1598745..1598788,1598808..1598845))
SPBTRNALEU.06beforeII:complement(1598745..1598845)
SPBTRNALEU.07afterII:complement(join(1644083..1644126,1644146..1644183))
SPBTRNALEU.07beforeII:complement(1644083..1644183)
SPBTRNALYS.07afterII:join(1599706..1599744,1599752..1599788)
SPBTRNALYS.07beforeII:1599706..1599788
SPBTRNALYS.08afterII:join(1645044..1645082,1645091..1645126)
SPBTRNALYS.08beforeII:1645044..1645126
SPBTRNALYS.09afterII:join(3814134..3814172,3814181..3814216)
SPBTRNALYS.09beforeII:3814134..3814216
SPBTRNAMET.05afterII:complement(join(1598075..1598110,1598118..1598155))
SPBTRNAMET.05beforeII:complement(1598075..1598155)
SPBTRNATYR.02afterII:join(1598511..1598548,1598559..1598594)
SPBTRNATYR.02beforeII:1598511..1598594
SPBTRNATYR.03afterII:join(1643849..1643886,1643897..1643932)
SPBTRNATYR.03beforeII:1643849..1643932
SPBTRNATYR.04afterII:join(3814558..3814595,3814606..3814641)
SPBTRNATYR.04beforeII:3814558..3814641
SPBTRNAVAL.05afterII:complement(join(1600967..1601002,1601012..1601049))
SPBTRNAVAL.05beforeII:complement(1600967..1601049)
SPBTRNAVAL.07afterII:join(1629159..1629196,1629206..1629241)
SPBTRNAVAL.07beforeII:1629159..1629241
SPBTRNAVAL.08afterII:complement(join(1646305..1646340,1646350..1646387))
SPBTRNAVAL.08beforeII:complement(1646305..1646387)
SPNCRNA.111afterII:complement(3978331..3982106)PMID:21511999
SPNCRNA.111beforeII:complement(3978616..3980728)
SPCTRNALEU.12afterIII:complement(join(1096085..1096128,1096148..1096185))
SPCTRNALEU.12beforeIII:complement(1096085..1096185)
SPCTRNALEU.13afterIII:join(1102809..1102846,1102866..1102909)
SPCTRNALEU.13beforeIII:1102809..1102909
SPCTRNALYS.11afterIII:complement(join(1139536..1139571,1139580..1139618))
SPCTRNALYS.11beforeIII:complement(1139536..1139618)
SPCTRNALYS.12afterIII:join(1475034..1475072,1475081..1475116)
SPCTRNALYS.12beforeIII:1475034..1475116
SPCTRNASER.10afterIII:join(1253193..1253231,1253243..1253287)
SPCTRNASER.10beforeIII:1253193..1253287
SPCTRNASER.13afterIII:join(2072080..2072118,2072130..2072174)
SPCTRNASER.13beforeIII:2072080..2072174
SPCTRNAVAL.09afterIII:join(1092934..1092971,1092981..1093016)
SPCTRNAVAL.09beforeIII:1092934..1093016
SPCTRNAVAL.10afterIII:complement(join(1105978..1106013,1106023..1106060))
SPCTRNAVAL.10beforeIII:complement(1105978..1106060)
SPCTRNAVAL.12afterIII:complement(join(1065778..1065813,1065823..1065860))
SPCTRNAVAL.12beforeIII:complement(1065778..1065860)
SPBTRNAASP.03afterII:1602188..1602260
SPBTRNAASP.03beforeII:complement(1602347..1602417)
SPNCRNA.304afterII:complement(360425..362854)
SPNCRNA.304beforeII:360425..362854
SPSNORNA.29sno52afterI:complement(339548..339642)
SPSNORNA.29sno52beforeI:339548..339642
SPSNORNA.42snR90afterI:complement(4937170..4937394)
SPSNORNA.42snR90beforeI:complement(4937237..4937394)
SPNCRNA.585afterIII:complement(2010261..2010800)
SPNCRNA.585beforeIII:complement(2010261..2010574)
SPNCRNA.53prl53afterI:complement(4008054..4009905)EMBL:AB084861,EMBL:AB084875
SPNCRNA.53prl53beforeI:4008172..4008681
SPNCRNA.223afterI:complement(3534486..3536133)
SPNCRNA.223beforeI:3534486..3536133
SPNCRNA.31prl31afterI:2975608..2976007
SPNCRNA.31prl31beforeI:complement(2975608..2976007)
SPNCRNA.445snoR61afterII:complement(join(3874254..3874461,3874798..3874906))updated to extend 3’ and added splice and identified as snR6pers. comm. J. Matthews
SPNCRNA.445beforeII:complement(3874378..3874906)updated to extend 3’ and added splice and identified as snR6pers. comm. J. Matthews
SPNCRNA.25prl25afterII:complement(2567830..2568256)
SPNCRNA.25prl25beforeII:2567830..2568256
SPNCRNA.92afterI:3875656..3876105
SPNCRNA.92beforeI:complement(3875656..3876105)
SPNCRNA.82mrp1afterI:1234451..1234849upon realisation that this corresponded to RNase MRPpers. comm. Val Wood,EMBL:EF424786,EMBL:SPC10292
SPNCRNA.82beforeI:1234705..1234837upon realisation that this corresponded to RNase MRPpers. comm. Val Wood
SPRRNA.31afterII:784153..784398
SPRRNA.31beforeII:784199..784398
SPRRNA.31afterII:784199..784398
SPRRNA.31beforeII:784153..784398
SPRRNA.31afterII:784153..784398
SPRRNA.31beforeII:784199..784398
SPNCRNA.82afterI:1235605..1235737
SPNCRNA.82mrp1beforeI:1234451..1234849EMBL:EF424786,EMBL:SPC10292
SPRRNA.31afterII:784199..784398
SPRRNA.31beforeII:783253..783498
SPNCRNA.82mrp1afterI:1234451..1234849EMBL:EF424786,EMBL:SPC10292
SPNCRNA.82beforeI:1235605..1235737
SPRRNA.31afterII:783253..783498
SPRRNA.31beforeII:784199..784398
SPATRNALYS.04afterI:complement(join(2685583..2685618,2685627..2685665))
SPATRNALYS.04beforeI:complement(2685583..2685665)
SPSNRNA.06snu6afterI:complement(join(2562985..2563223,2563274..2563459))RFAM:RF00026
SPSNRNA.06snu6beforeI:complement(join(2562985..2563222,2563274..2563459))RFAM:00026
SPNCRNA.131tos2afterIII:1549249..1549797
SPNCRNA.131tos2beforeIII:1547624..1548172
SPNCRNA.132tos3afterIII:1547677..1548889
SPNCRNA.132tos3beforeIII:1548532..1549744
SPNCRNA.69tos1afterIII:1548828..1550437
SPNCRNA.69tos1beforeIII:1546984..1548593
SPNCRNA.86afterI:complement(1358711..1359192)EMBL:AU010322
SPNCRNA.86beforeI:complement(join(1358711..1359192,1358711..1359192))
SPSNRNA.06snu6afterI:complement(join(2562985..2563222,2563274..2563459))EMBL:X14196,RFAM:00026
SPSNRNA.06U6snRNAbeforeI:complement(2562985..2563459)
SPNCRNA.03prl3afterI:complement(237974..238748)
SPNCRNA.03beforeI:complement(237974..238580)
SPBTRNALEU.09afterII:complement(3210939..3211017)
SPBTRNALEU.09beforeII:complement(2688856..2688934)
SPBTRNALEU.10afterII:3915843..3915921
SPBTRNALEU.10beforeII:complement(3129738..3129816)
SPBTRNALYS.08afterII:1646844..1646926
SPBTRNALYS.08beforeII:3734733..3734815
SPCTRNALEU.12afterIII:complement(1096985..1097085)
SPCTRNALEU.12beforeIII:1069166..1069244
SPCTRNASER.09afterIII:1066628..1066709
SPCTRNASER.09beforeIII:1690613..1690709
SPCTRNASER.10afterIII:1254093..1254187
SPCTRNASER.10beforeIII:complement(1776892..1776973)
SPCTRNASER.11afterIII:1690613..1690709
SPCTRNASER.11beforeIII:2072980..2073074
SPBTRNAPRO.07afterII:2860314..2860385
SPBTRNAPRO.07afterII:complement(3281118..3281189)
SPCTRNAGLY.10afterIII:2038252..2038322
SPCTRNAGLY.10afterIII:complement(113716..113786)

Genome overview

Chromosomes

Genome Status

Genome overview Graphic and basic information about each chromosome
Sequencing status Contig size, gap status and progress, including centromeres and telomeres
Sequence updates Changes to the genome sequence since July 2003
Sequence updates pending Pending changes, mainly from the Broad Institute, some supported by data from other sources
Gene coordinate changes Changes to coordinates of individual genes since publication
New and removed genes Genes identified or removed since publication
Gene characterisation Current counts of protein coding gene status, as published in small scale experiments
Historical gene characterisation Changes in gene characterisation statistics over time
Genome statistics Information on the status of the genome (Note: Last updated January 2017)
Priority unstudied genes Unstudied nuclear-encoded protein-coding genes conserved 1:1 in human
Unmapped genes List of genes identified genetically but not cloned or physically mapped

Note: Many older S. pombe sequence submissions to the DNA databases (International Nucleotide Sequence Database Collaboration databases, i.e. ENA, GenBank, DDBJ) contain one or more errors, and we do not have the resources to maintain past sequences or flag every error in PomBase.

Mating type region

The S. pombe mating type loci are located on Chromosome 2. The reference strain 972 h- encodes the M-specific mating genes II:2114008-2115135 at the expressed mat1 locus. The silent region mat3M is located at coordinates II:2129208-2137121. Note that the silent mat2P region and cenH element are deleted in the reference strain.

A contig of the h90 configuration of the mat2P-mat3M region was created by Xavier Marsellach and Lorena Aguilar (Azorín lab) using available data and S. pombe var. kambucha as a scaffold. The contig can be viewed in the genome browser. Replacing the Chromosome 2 region spanning coordinates 2129208-2137121 with the separate contig sequence yields the Chromosome 2 contig of an h90 strain.

For a description of how the mating type specific genes are organized and annotated in PomBase, see this FAQ item.

For a detailed description of the S. pombe mating type region, please see the online tutorial provided by the Nielsen lab (external link).

New RNA genes since publication

Systematic idPrimary nameDate addedCommentReference
SPNCRNA.1715mamRNAPMID:33536434
SPNCRNA.1714
SPNCRNA.4566PMID:29914874
SPNCRNA.4780PMID:29914874
SPNCRNA.4789PMID:29914874
SPNCRNA.4788PMID:29914874
SPNCRNA.4787PMID:29914874
SPNCRNA.4786PMID:29914874
SPNCRNA.4785PMID:29914874
SPNCRNA.4784PMID:29914874
SPNCRNA.4783PMID:29914874
SPNCRNA.4782PMID:29914874
SPNCRNA.4781PMID:29914874
SPNCRNA.6842PMID:29914874
SPNCRNA.4791PMID:29914874
SPNCRNA.4779PMID:29914874
SPNCRNA.4778PMID:29914874
SPNCRNA.4777PMID:29914874
SPNCRNA.4776PMID:29914874
SPNCRNA.4775PMID:29914874
SPNCRNA.4774PMID:29914874
SPNCRNA.4773PMID:29914874
SPNCRNA.4772PMID:29914874
SPNCRNA.4790PMID:29914874
SPNCRNA.4792PMID:29914874
SPNCRNA.4770PMID:29914874
SPNCRNA.4793PMID:29914874
SPNCRNA.4812PMID:29914874
SPNCRNA.4811PMID:29914874
SPNCRNA.4810PMID:29914874
SPNCRNA.6840PMID:29914874
SPNCRNA.4809PMID:29914874
SPNCRNA.4808PMID:29914874
SPNCRNA.4807PMID:29914874
SPNCRNA.4806PMID:29914874
SPNCRNA.4805PMID:29914874
SPNCRNA.4804PMID:29914874
SPNCRNA.4803PMID:29914874
SPNCRNA.4802PMID:29914874
SPNCRNA.4801PMID:29914874
SPNCRNA.4800PMID:29914874
SPNCRNA.6841PMID:29914874
SPNCRNA.4799PMID:29914874
SPNCRNA.4798PMID:29914874
SPNCRNA.4797PMID:29914874
SPNCRNA.4796PMID:29914874
SPNCRNA.4795PMID:29914874
SPNCRNA.4794PMID:29914874
SPNCRNA.4771PMID:29914874
SPNCRNA.4769PMID:29914874
SPNCRNA.6843PMID:29914874
SPNCRNA.4736PMID:29914874
SPNCRNA.4745PMID:29914874
SPNCRNA.4744PMID:29914874
SPNCRNA.4743PMID:29914874
SPNCRNA.4742PMID:29914874
SPNCRNA.4741PMID:29914874
SPNCRNA.4740PMID:29914874
SPNCRNA.4739PMID:29914874
SPNCRNA.4738PMID:29914874
SPNCRNA.4737PMID:29914874
SPNCRNA.4735PMID:29914874
SPNCRNA.4747PMID:29914874
SPNCRNA.4734PMID:29914874
SPNCRNA.4733PMID:29914874
SPNCRNA.4732PMID:29914874
SPNCRNA.4731PMID:29914874
SPNCRNA.4730PMID:29914874
SPNCRNA.6845PMID:29914874
SPNCRNA.4729PMID:29914874
SPNCRNA.4728PMID:29914874
SPNCRNA.4727PMID:29914874
SPNCRNA.4746PMID:29914874
SPNCRNA.4748PMID:29914874
SPNCRNA.4814PMID:29914874
SPNCRNA.4759PMID:29914874
SPNCRNA.4768PMID:29914874
SPNCRNA.4767PMID:29914874
SPNCRNA.4766PMID:29914874
SPNCRNA.4765PMID:29914874
SPNCRNA.4764PMID:29914874
SPNCRNA.4763PMID:29914874
SPNCRNA.4762PMID:29914874
SPNCRNA.4761PMID:29914874
SPNCRNA.4760PMID:29914874
SPNCRNA.4758PMID:29914874
SPNCRNA.4749PMID:29914874
SPNCRNA.4757PMID:29914874
SPNCRNA.4756PMID:29914874
SPNCRNA.4755PMID:29914874
SPNCRNA.4754PMID:29914874
SPNCRNA.4753PMID:29914874
SPNCRNA.4752PMID:29914874
SPNCRNA.4751PMID:29914874
SPNCRNA.4750PMID:29914874
SPNCRNA.6844PMID:29914874
SPNCRNA.4813PMID:29914874
SPNCRNA.4816PMID:29914874
SPNCRNA.4815PMID:29914874
SPNCRNA.4870PMID:29914874
SPNCRNA.4879PMID:29914874
SPNCRNA.4878PMID:29914874
SPNCRNA.4877PMID:29914874
SPNCRNA.4876PMID:29914874
SPNCRNA.4875PMID:29914874
SPNCRNA.4874PMID:29914874
SPNCRNA.4873PMID:29914874
SPNCRNA.4872PMID:29914874
SPNCRNA.4871PMID:29914874
SPNCRNA.6835PMID:29914874
SPNCRNA.4880PMID:29914874
SPNCRNA.4869PMID:29914874
SPNCRNA.4868PMID:29914874
SPNCRNA.4867PMID:29914874
SPNCRNA.4866PMID:29914874
SPNCRNA.4865PMID:29914874
SPNCRNA.4864PMID:29914874
SPNCRNA.4863PMID:29914874
SPNCRNA.4862PMID:29914874
SPNCRNA.4861PMID:29914874
SPNCRNA.6834PMID:29914874
SPNCRNA.4881PMID:29914874
SPNCRNA.6836PMID:29914874
SPNCRNA.4893PMID:29914874
SPNCRNA.4902PMID:29914874
SPNCRNA.4901PMID:29914874
SPNCRNA.4900PMID:29914874
SPNCRNA.4899PMID:29914874
SPNCRNA.4898PMID:29914874
SPNCRNA.4897PMID:29914874
SPNCRNA.4896PMID:29914874
SPNCRNA.4895PMID:29914874
SPNCRNA.4894PMID:29914874
SPNCRNA.4892PMID:29914874
SPNCRNA.4882PMID:29914874
SPNCRNA.4891PMID:29914874
SPNCRNA.4890PMID:29914874
SPNCRNA.4889PMID:29914874
SPNCRNA.4888PMID:29914874
SPNCRNA.4887PMID:29914874
SPNCRNA.4886PMID:29914874
SPNCRNA.4885PMID:29914874
SPNCRNA.4884PMID:29914874
SPNCRNA.4883PMID:29914874
SPNCRNA.4860PMID:29914874
SPNCRNA.4859PMID:29914874
SPNCRNA.5269PMID:29914874
SPNCRNA.4827PMID:29914874
SPNCRNA.4835PMID:29914874
SPNCRNA.4834PMID:29914874
SPNCRNA.4833PMID:29914874
SPNCRNA.4832PMID:29914874
SPNCRNA.4831PMID:29914874
SPNCRNA.4830PMID:29914874
SPNCRNA.6839PMID:29914874
SPNCRNA.4829PMID:29914874
SPNCRNA.4828PMID:29914874
SPNCRNA.4826PMID:29914874
SPNCRNA.4837PMID:29914874
SPNCRNA.4825PMID:29914874
SPNCRNA.4824PMID:29914874
SPNCRNA.4823PMID:29914874
SPNCRNA.4822PMID:29914874
SPNCRNA.4821PMID:29914874
SPNCRNA.4820PMID:29914874
SPNCRNA.4819PMID:29914874
SPNCRNA.4818PMID:29914874
SPNCRNA.4817PMID:29914874
SPNCRNA.4836PMID:29914874
SPNCRNA.4838PMID:29914874
SPNCRNA.4858PMID:29914874
SPNCRNA.4849PMID:29914874
SPNCRNA.4857PMID:29914874
SPNCRNA.4856PMID:29914874
SPNCRNA.4855PMID:29914874
SPNCRNA.4854PMID:29914874
SPNCRNA.4853PMID:29914874
SPNCRNA.4852PMID:29914874
SPNCRNA.4851PMID:29914874
SPNCRNA.4850PMID:29914874
SPNCRNA.6837PMID:29914874
SPNCRNA.4848PMID:29914874
SPNCRNA.4839PMID:29914874
SPNCRNA.4847PMID:29914874
SPNCRNA.4846PMID:29914874
SPNCRNA.4845PMID:29914874
SPNCRNA.4844PMID:29914874
SPNCRNA.4843PMID:29914874
SPNCRNA.4842PMID:29914874
SPNCRNA.4841PMID:29914874
SPNCRNA.4840PMID:29914874
SPNCRNA.6838PMID:29914874
SPNCRNA.4726PMID:29914874
SPNCRNA.4725PMID:29914874
SPNCRNA.4724PMID:29914874
SPNCRNA.4723PMID:29914874
SPNCRNA.4609PMID:29914874
SPNCRNA.4608PMID:29914874
SPNCRNA.4607PMID:29914874
SPNCRNA.4606PMID:29914874
SPNCRNA.4605PMID:29914874
SPNCRNA.4604PMID:29914874
SPNCRNA.4603PMID:29914874
SPNCRNA.4602PMID:29914874
SPNCRNA.4601PMID:29914874
SPNCRNA.4600PMID:29914874
SPNCRNA.6854PMID:29914874
SPNCRNA.4599PMID:29914874
SPNCRNA.4598PMID:29914874
SPNCRNA.4597PMID:29914874
SPNCRNA.4596PMID:29914874
SPNCRNA.4595PMID:29914874
SPNCRNA.4594PMID:29914874
SPNCRNA.4593PMID:29914874
SPNCRNA.4592PMID:29914874
SPNCRNA.4591PMID:29914874
SPNCRNA.4590PMID:29914874
SPNCRNA.4610PMID:29914874
SPNCRNA.4611PMID:29914874
SPNCRNA.4612PMID:29914874
SPNCRNA.4623PMID:29914874
SPNCRNA.4631PMID:29914874
SPNCRNA.4630PMID:29914874
SPNCRNA.6852PMID:29914874
SPNCRNA.4629PMID:29914874
SPNCRNA.4628PMID:29914874
SPNCRNA.4627PMID:29914874
SPNCRNA.4626PMID:29914874
SPNCRNA.4625PMID:29914874
SPNCRNA.4624PMID:29914874
SPNCRNA.4622PMID:29914874
SPNCRNA.4613PMID:29914874
SPNCRNA.4621PMID:29914874
SPNCRNA.4620PMID:29914874
SPNCRNA.6853PMID:29914874
SPNCRNA.4619PMID:29914874
SPNCRNA.4618PMID:29914874
SPNCRNA.4617PMID:29914874
SPNCRNA.4616PMID:29914874
SPNCRNA.4615PMID:29914874
SPNCRNA.4614PMID:29914874
SPNCRNA.4589PMID:29914874
SPNCRNA.4588PMID:29914874
SPNCRNA.4587PMID:29914874
SPNCRNA.4554PMID:29914874
SPNCRNA.4562PMID:29914874
SPNCRNA.4561PMID:29914874
SPNCRNA.4560PMID:29914874
SPNCRNA.6857PMID:29914874
SPNCRNA.4559PMID:29914874
SPNCRNA.4558PMID:29914874
SPNCRNA.4557PMID:29914874
SPNCRNA.4556PMID:29914874
SPNCRNA.4555PMID:29914874
SPNCRNA.4553PMID:29914874
SPNCRNA.4564PMID:29914874
SPNCRNA.4552PMID:29914874
SPNCRNA.4551PMID:29914874
SPNCRNA.4550PMID:29914874
SPNCRNA.6858PMID:29914874
SPNCRNA.4549PMID:29914874
SPNCRNA.4548PMID:29914874
SPNCRNA.4547PMID:29914874
SPNCRNA.4546PMID:29914874
SPNCRNA.4545PMID:29914874
SPNCRNA.4563PMID:29914874
SPNCRNA.4565PMID:29914874
SPNCRNA.4586PMID:29914874
SPNCRNA.4576PMID:29914874
SPNCRNA.4585PMID:29914874
SPNCRNA.4584PMID:29914874
SPNCRNA.4583PMID:29914874
SPNCRNA.4582PMID:29914874
SPNCRNA.4581PMID:29914874
SPNCRNA.4580PMID:29914874
SPNCRNA.4579PMID:29914874
SPNCRNA.4578PMID:29914874
SPNCRNA.4577PMID:29914874
SPNCRNA.4575PMID:29914874
SPNCRNA.6856PMID:29914874
SPNCRNA.4574PMID:29914874
SPNCRNA.4573PMID:29914874
SPNCRNA.4572PMID:29914874
SPNCRNA.4571PMID:29914874
SPNCRNA.4570PMID:29914874
SPNCRNA.6855PMID:29914874
SPNCRNA.4569PMID:29914874
SPNCRNA.4568PMID:29914874
SPNCRNA.4567PMID:29914874
SPNCRNA.4632PMID:29914874
SPNCRNA.4633PMID:29914874
SPNCRNA.4634PMID:29914874
SPNCRNA.4692PMID:29914874
SPNCRNA.4700PMID:29914874
SPNCRNA.6848PMID:29914874
SPNCRNA.4699PMID:29914874
SPNCRNA.4698PMID:29914874
SPNCRNA.4697PMID:29914874
SPNCRNA.4696PMID:29914874
SPNCRNA.4695PMID:29914874
SPNCRNA.4694PMID:29914874
SPNCRNA.4693PMID:29914874
SPNCRNA.4691PMID:29914874
SPNCRNA.4702PMID:29914874
SPNCRNA.4690PMID:29914874
SPNCRNA.6849PMID:29914874
SPNCRNA.4689PMID:29914874
SPNCRNA.4688PMID:29914874
SPNCRNA.4687PMID:29914874
SPNCRNA.4686PMID:29914874
SPNCRNA.4685PMID:29914874
SPNCRNA.4684PMID:29914874
SPNCRNA.4683PMID:29914874
SPNCRNA.4701PMID:29914874
SPNCRNA.4703PMID:29914874
SPNCRNA.4681PMID:29914874
SPNCRNA.4714PMID:29914874
SPNCRNA.4722PMID:29914874
SPNCRNA.4721PMID:29914874
SPNCRNA.4720PMID:29914874
SPNCRNA.6846PMID:29914874
SPNCRNA.4719PMID:29914874
SPNCRNA.4718PMID:29914874
SPNCRNA.4717PMID:29914874
SPNCRNA.4716PMID:29914874
SPNCRNA.4715PMID:29914874
SPNCRNA.4713PMID:29914874
SPNCRNA.4704PMID:29914874
SPNCRNA.4712PMID:29914874
SPNCRNA.4711PMID:29914874
SPNCRNA.4710PMID:29914874
SPNCRNA.6847PMID:29914874
SPNCRNA.4709PMID:29914874
SPNCRNA.4708PMID:29914874
SPNCRNA.4707PMID:29914874
SPNCRNA.4706PMID:29914874
SPNCRNA.4705PMID:29914874
SPNCRNA.4682PMID:29914874
SPNCRNA.4680PMID:29914874
SPNCRNA.4635PMID:29914874
SPNCRNA.4645PMID:29914874
SPNCRNA.4654PMID:29914874
SPNCRNA.4653PMID:29914874
SPNCRNA.4652PMID:29914874
SPNCRNA.4651PMID:29914874
SPNCRNA.4650PMID:29914874
SPNCRNA.4649PMID:29914874
SPNCRNA.4648PMID:29914874
SPNCRNA.4647PMID:29914874
SPNCRNA.4646PMID:29914874
SPNCRNA.4644PMID:29914874
SPNCRNA.4656PMID:29914874
SPNCRNA.4643PMID:29914874
SPNCRNA.4642PMID:29914874
SPNCRNA.4641PMID:29914874
SPNCRNA.4640PMID:29914874
SPNCRNA.6851PMID:29914874
SPNCRNA.4639PMID:29914874
SPNCRNA.4638PMID:29914874
SPNCRNA.4637PMID:29914874
SPNCRNA.4636PMID:29914874
SPNCRNA.4655PMID:29914874
SPNCRNA.4657PMID:29914874
SPNCRNA.4679PMID:29914874
SPNCRNA.4668PMID:29914874
SPNCRNA.4678PMID:29914874
SPNCRNA.4677PMID:29914874
SPNCRNA.4676PMID:29914874
SPNCRNA.4674PMID:29914874
SPNCRNA.4673PMID:29914874
SPNCRNA.4672PMID:29914874
SPNCRNA.4671PMID:29914874
SPNCRNA.4670PMID:29914874
SPNCRNA.4669PMID:29914874
SPNCRNA.4667PMID:29914874
SPNCRNA.4658PMID:29914874
SPNCRNA.4666PMID:29914874
SPNCRNA.4665PMID:29914874
SPNCRNA.4664PMID:29914874
SPNCRNA.4663PMID:29914874
SPNCRNA.4662PMID:29914874
SPNCRNA.4661PMID:29914874
SPNCRNA.4660PMID:29914874
SPNCRNA.6850PMID:29914874
SPNCRNA.4659PMID:29914874
SPNCRNA.4903PMID:29914874
SPNCRNA.4904PMID:29914874
SPNCRNA.4905PMID:29914874
SPNCRNA.5089PMID:29914874
SPNCRNA.5155PMID:29914874
SPNCRNA.5154PMID:29914874
SPNCRNA.5153PMID:29914874
SPNCRNA.5152PMID:29914874
SPNCRNA.5151PMID:29914874
SPNCRNA.5150PMID:29914874
SPNCRNA.5149PMID:29914874
SPNCRNA.5148PMID:29914874
SPNCRNA.5147PMID:29914874
SPNCRNA.5146PMID:29914874
SPNCRNA.5145PMID:29914874
SPNCRNA.5144PMID:29914874
SPNCRNA.5143PMID:29914874
SPNCRNA.5142PMID:29914874
SPNCRNA.5141PMID:29914874
SPNCRNA.5140PMID:29914874
SPNCRNA.5139PMID:29914874
SPNCRNA.5138PMID:29914874
SPNCRNA.5137PMID:29914874
SPNCRNA.5136PMID:29914874
SPNCRNA.5135PMID:29914874
SPNCRNA.5156PMID:29914874
SPNCRNA.5157PMID:29914874
SPNCRNA.5158PMID:29914874
SPNCRNA.5169PMID:29914874
SPNCRNA.5178PMID:29914874
SPNCRNA.5177PMID:29914874
SPNCRNA.5176PMID:29914874
SPNCRNA.5175PMID:29914874
SPNCRNA.5174PMID:29914874
SPNCRNA.5173PMID:29914874
SPNCRNA.5172PMID:29914874
SPNCRNA.5171PMID:29914874
SPNCRNA.5170PMID:29914874
SPNCRNA.5168PMID:29914874
SPNCRNA.5159PMID:29914874
SPNCRNA.5167PMID:29914874
SPNCRNA.5166PMID:29914874
SPNCRNA.5165PMID:29914874
SPNCRNA.5164PMID:29914874
SPNCRNA.5163PMID:29914874
SPNCRNA.5162PMID:29914874
SPNCRNA.5161PMID:29914874
SPNCRNA.5160PMID:29914874
SPNCRNA.6820PMID:29914874
SPNCRNA.5134PMID:29914874
SPNCRNA.5133PMID:29914874
SPNCRNA.5132PMID:29914874
SPNCRNA.5100PMID:29914874
SPNCRNA.5109PMID:29914874
SPNCRNA.5108PMID:29914874
SPNCRNA.5107PMID:29914874
SPNCRNA.5106PMID:29914874
SPNCRNA.5105PMID:29914874
SPNCRNA.5104PMID:29914874
SPNCRNA.5103PMID:29914874
SPNCRNA.5102PMID:29914874
SPNCRNA.5101PMID:29914874
SPNCRNA.6824PMID:29914874
SPNCRNA.5110PMID:29914874
SPNCRNA.5099PMID:29914874
SPNCRNA.5098PMID:29914874
SPNCRNA.5097PMID:29914874
SPNCRNA.5096PMID:29914874
SPNCRNA.5095PMID:29914874
SPNCRNA.5094PMID:29914874
SPNCRNA.5093PMID:29914874
SPNCRNA.5092PMID:29914874
SPNCRNA.5091PMID:29914874
SPNCRNA.6823PMID:29914874
SPNCRNA.5111PMID:29914874
SPNCRNA.5131PMID:29914874
SPNCRNA.5122PMID:29914874
SPNCRNA.5130PMID:29914874
SPNCRNA.6821PMID:29914874
SPNCRNA.5129PMID:29914874
SPNCRNA.5128PMID:29914874
SPNCRNA.5127PMID:29914874
SPNCRNA.5126PMID:29914874
SPNCRNA.5125PMID:29914874
SPNCRNA.5124PMID:29914874
SPNCRNA.5123PMID:29914874
SPNCRNA.5121PMID:29914874
SPNCRNA.5112PMID:29914874
SPNCRNA.5120PMID:29914874
SPNCRNA.6822PMID:29914874
SPNCRNA.5119PMID:29914874
SPNCRNA.5118PMID:29914874
SPNCRNA.5117PMID:29914874
SPNCRNA.5116PMID:29914874
SPNCRNA.5115PMID:29914874
SPNCRNA.5114PMID:29914874
SPNCRNA.5113PMID:29914874
SPNCRNA.5179PMID:29914874
SPNCRNA.5180PMID:29914874
SPNCRNA.5181PMID:29914874
SPNCRNA.5237PMID:29914874
SPNCRNA.5245PMID:29914874
SPNCRNA.5244PMID:29914874
SPNCRNA.5243PMID:29914874
SPNCRNA.5242PMID:29914874
SPNCRNA.5241PMID:29914874
SPNCRNA.5240PMID:29914874
SPNCRNA.6815PMID:29914874
SPNCRNA.5239PMID:29914874
SPNCRNA.5238PMID:29914874
SPNCRNA.5236PMID:29914874
SPNCRNA.5247PMID:29914874
SPNCRNA.5235PMID:29914874
SPNCRNA.5234PMID:29914874
SPNCRNA.5233PMID:29914874
SPNCRNA.5232PMID:29914874
SPNCRNA.5231PMID:29914874
SPNCRNA.5230PMID:29914874
SPNCRNA.5229PMID:29914874
SPNCRNA.5228PMID:29914874
SPNCRNA.5227PMID:29914874
SPNCRNA.5246PMID:29914874
SPNCRNA.5248PMID:29914874
SPNCRNA.5225PMID:29914874
SPNCRNA.5259PMID:29914874
SPNCRNA.5267PMID:29914874
SPNCRNA.5266PMID:29914874
SPNCRNA.5265PMID:29914874
SPNCRNA.5264PMID:29914874
SPNCRNA.5263PMID:29914874
SPNCRNA.5262PMID:29914874
SPNCRNA.5261PMID:29914874
SPNCRNA.5260PMID:29914874
SPNCRNA.6813PMID:29914874
SPNCRNA.5258PMID:29914874
SPNCRNA.5249PMID:29914874
SPNCRNA.5257PMID:29914874
SPNCRNA.5256PMID:29914874
SPNCRNA.5255PMID:29914874
SPNCRNA.5254PMID:29914874
SPNCRNA.5253PMID:29914874
SPNCRNA.5252PMID:29914874
SPNCRNA.5251PMID:29914874
SPNCRNA.5250PMID:29914874
SPNCRNA.6814PMID:29914874
SPNCRNA.5226PMID:29914874
SPNCRNA.5224PMID:29914874
SPNCRNA.5182PMID:29914874
SPNCRNA.5192PMID:29914874
SPNCRNA.6817PMID:29914874
SPNCRNA.6818PMID:29914874
SPNCRNA.5199PMID:29914874
SPNCRNA.5198PMID:29914874
SPNCRNA.5197PMID:29914874
SPNCRNA.5196PMID:29914874
SPNCRNA.5195PMID:29914874
SPNCRNA.5194PMID:29914874
SPNCRNA.5193PMID:29914874
SPNCRNA.5191PMID:29914874
SPNCRNA.5201PMID:29914874
SPNCRNA.5190PMID:29914874
SPNCRNA.6819PMID:29914874
SPNCRNA.5189PMID:29914874
SPNCRNA.5188PMID:29914874
SPNCRNA.5187PMID:29914874
SPNCRNA.5186PMID:29914874
SPNCRNA.5185PMID:29914874
SPNCRNA.5184PMID:29914874
SPNCRNA.5183PMID:29914874
SPNCRNA.5200PMID:29914874
SPNCRNA.5202PMID:29914874
SPNCRNA.5223PMID:29914874
SPNCRNA.5213PMID:29914874
SPNCRNA.5222PMID:29914874
SPNCRNA.5221PMID:29914874
SPNCRNA.5220PMID:29914874
SPNCRNA.5219PMID:29914874
SPNCRNA.5218PMID:29914874
SPNCRNA.5217PMID:29914874
SPNCRNA.5216PMID:29914874
SPNCRNA.5215PMID:29914874
SPNCRNA.5214PMID:29914874
SPNCRNA.5212PMID:29914874
SPNCRNA.5203PMID:29914874
SPNCRNA.5211PMID:29914874
SPNCRNA.5210PMID:29914874
SPNCRNA.6816PMID:29914874
SPNCRNA.5209PMID:29914874
SPNCRNA.5208PMID:29914874
SPNCRNA.5207PMID:29914874
SPNCRNA.5206PMID:29914874
SPNCRNA.5205PMID:29914874
SPNCRNA.5204PMID:29914874
SPNCRNA.5090PMID:29914874
SPNCRNA.5088PMID:29914874
SPNCRNA.4906PMID:29914874
SPNCRNA.5087PMID:29914874
SPNCRNA.4972PMID:29914874
SPNCRNA.4971PMID:29914874
SPNCRNA.4970PMID:29914874
SPNCRNA.6831PMID:29914874
SPNCRNA.4969PMID:29914874
SPNCRNA.4968PMID:29914874
SPNCRNA.4967PMID:29914874
SPNCRNA.4966PMID:29914874
SPNCRNA.4965PMID:29914874
SPNCRNA.4964PMID:29914874
SPNCRNA.4963PMID:29914874
SPNCRNA.4962PMID:29914874
SPNCRNA.4961PMID:29914874
SPNCRNA.4960PMID:29914874
SPNCRNA.4959PMID:29914874
SPNCRNA.4958PMID:29914874
SPNCRNA.4957PMID:29914874
SPNCRNA.4956PMID:29914874
SPNCRNA.4955PMID:29914874
SPNCRNA.4954PMID:29914874
SPNCRNA.4953PMID:29914874
SPNCRNA.4973PMID:29914874
SPNCRNA.4974PMID:29914874
SPNCRNA.4975PMID:29914874
SPNCRNA.4986PMID:29914874
SPNCRNA.4995PMID:29914874
SPNCRNA.4994PMID:29914874
SPNCRNA.4993PMID:29914874
SPNCRNA.4992PMID:29914874
SPNCRNA.4991PMID:29914874
SPNCRNA.4990PMID:29914874
SPNCRNA.4989PMID:29914874
SPNCRNA.4988PMID:29914874
SPNCRNA.4987PMID:29914874
SPNCRNA.4985PMID:29914874
SPNCRNA.4976PMID:29914874
SPNCRNA.4984PMID:29914874
SPNCRNA.4983PMID:29914874
SPNCRNA.4982PMID:29914874
SPNCRNA.4981PMID:29914874
SPNCRNA.4980PMID:29914874
SPNCRNA.6830PMID:29914874
SPNCRNA.4979PMID:29914874
SPNCRNA.4978PMID:29914874
SPNCRNA.4977PMID:29914874
SPNCRNA.4952PMID:29914874
SPNCRNA.4951PMID:29914874
SPNCRNA.4950PMID:29914874
SPNCRNA.4916PMID:29914874
SPNCRNA.4925PMID:29914874
SPNCRNA.4924PMID:29914874
SPNCRNA.4923PMID:29914874
SPNCRNA.4922PMID:29914874
SPNCRNA.4921PMID:29914874
SPNCRNA.4920PMID:29914874
SPNCRNA.4919PMID:29914874
SPNCRNA.4918PMID:29914874
SPNCRNA.4917PMID:29914874
SPNCRNA.4915PMID:29914874
SPNCRNA.4927PMID:29914874
SPNCRNA.4914PMID:29914874
SPNCRNA.4913PMID:29914874
SPNCRNA.4912PMID:29914874
SPNCRNA.4911PMID:29914874
SPNCRNA.4910PMID:29914874
SPNCRNA.6833PMID:29914874
SPNCRNA.4909PMID:29914874
SPNCRNA.4908PMID:29914874
SPNCRNA.4907PMID:29914874
SPNCRNA.4926PMID:29914874
SPNCRNA.4928PMID:29914874
SPNCRNA.4949PMID:29914874
SPNCRNA.4939PMID:29914874
SPNCRNA.4948PMID:29914874
SPNCRNA.4947PMID:29914874
SPNCRNA.4946PMID:29914874
SPNCRNA.4945PMID:29914874
SPNCRNA.4944PMID:29914874
SPNCRNA.4943PMID:29914874
SPNCRNA.4942PMID:29914874
SPNCRNA.4941PMID:29914874
SPNCRNA.4940PMID:29914874
SPNCRNA.4938PMID:29914874
SPNCRNA.4929PMID:29914874
SPNCRNA.4937PMID:29914874
SPNCRNA.4936PMID:29914874
SPNCRNA.4935PMID:29914874
SPNCRNA.4934PMID:29914874
SPNCRNA.4933PMID:29914874
SPNCRNA.4932PMID:29914874
SPNCRNA.4931PMID:29914874
SPNCRNA.4930PMID:29914874
SPNCRNA.6832PMID:29914874
SPNCRNA.4996PMID:29914874
SPNCRNA.4997PMID:29914874
SPNCRNA.4998PMID:29914874
SPNCRNA.5054PMID:29914874
SPNCRNA.5062PMID:29914874
SPNCRNA.5061PMID:29914874
SPNCRNA.5060PMID:29914874
SPNCRNA.6825PMID:29914874
SPNCRNA.5059PMID:29914874
SPNCRNA.5058PMID:29914874
SPNCRNA.5057PMID:29914874
SPNCRNA.5056PMID:29914874
SPNCRNA.5055PMID:29914874
SPNCRNA.5053PMID:29914874
SPNCRNA.5064PMID:29914874
SPNCRNA.5052PMID:29914874
SPNCRNA.5051PMID:29914874
SPNCRNA.5050PMID:29914874
SPNCRNA.6826PMID:29914874
SPNCRNA.5049PMID:29914874
SPNCRNA.5048PMID:29914874
SPNCRNA.5047PMID:29914874
SPNCRNA.5046PMID:29914874
SPNCRNA.5045PMID:29914874
SPNCRNA.5063PMID:29914874
SPNCRNA.5065PMID:29914874
SPNCRNA.5043PMID:29914874
SPNCRNA.5077PMID:29914874
SPNCRNA.5086PMID:29914874
SPNCRNA.5085PMID:29914874
SPNCRNA.5084PMID:29914874
SPNCRNA.5083PMID:29914874
SPNCRNA.5082PMID:29914874
SPNCRNA.5081PMID:29914874
SPNCRNA.5080PMID:29914874
SPNCRNA.5079PMID:29914874
SPNCRNA.5078PMID:29914874
SPNCRNA.5076PMID:29914874
SPNCRNA.5066PMID:29914874
SPNCRNA.5075PMID:29914874
SPNCRNA.5074PMID:29914874
SPNCRNA.5073PMID:29914874
SPNCRNA.5072PMID:29914874
SPNCRNA.5071PMID:29914874
SPNCRNA.5070PMID:29914874
SPNCRNA.5069PMID:29914874
SPNCRNA.5068PMID:29914874
SPNCRNA.5067PMID:29914874
SPNCRNA.5044PMID:29914874
SPNCRNA.5042PMID:29914874
SPNCRNA.4999PMID:29914874
SPNCRNA.5008PMID:29914874
SPNCRNA.5016PMID:29914874
SPNCRNA.5015PMID:29914874
SPNCRNA.5014PMID:29914874
SPNCRNA.5013PMID:29914874
SPNCRNA.5012PMID:29914874
SPNCRNA.5011PMID:29914874
SPNCRNA.5010PMID:29914874
SPNCRNA.6827PMID:29914874
SPNCRNA.5009PMID:29914874
SPNCRNA.5007PMID:29914874
SPNCRNA.5018PMID:29914874
SPNCRNA.5006PMID:29914874
SPNCRNA.5005PMID:29914874
SPNCRNA.5004PMID:29914874
SPNCRNA.5003PMID:29914874
SPNCRNA.5002PMID:29914874
SPNCRNA.5001PMID:29914874
SPNCRNA.5000PMID:29914874
SPNCRNA.6828PMID:29914874
SPNCRNA.6829PMID:29914874
SPNCRNA.5017PMID:29914874
SPNCRNA.5019PMID:29914874
SPNCRNA.5041PMID:29914874
SPNCRNA.5031PMID:29914874
SPNCRNA.5040PMID:29914874
SPNCRNA.5039PMID:29914874
SPNCRNA.5038PMID:29914874
SPNCRNA.5037PMID:29914874
SPNCRNA.5036PMID:29914874
SPNCRNA.5035PMID:29914874
SPNCRNA.5034PMID:29914874
SPNCRNA.5033PMID:29914874
SPNCRNA.5032PMID:29914874
SPNCRNA.5030PMID:29914874
SPNCRNA.5020PMID:29914874
SPNCRNA.5029PMID:29914874
SPNCRNA.5028PMID:29914874
SPNCRNA.5027PMID:29914874
SPNCRNA.5026PMID:29914874
SPNCRNA.5025PMID:29914874
SPNCRNA.5024PMID:29914874
SPNCRNA.5023PMID:29914874
SPNCRNA.5022PMID:29914874
SPNCRNA.5021PMID:29914874
SPNCRNA.4544PMID:29914874
SPNCRNA.4543PMID:29914874
SPNCRNA.4542PMID:29914874
SPNCRNA.3997PMID:29914874
SPNCRNA.4061PMID:29914874
SPNCRNA.4060PMID:29914874
SPNCRNA.6889PMID:29914874
SPNCRNA.4059PMID:29914874
SPNCRNA.4058PMID:29914874
SPNCRNA.4057PMID:29914874
SPNCRNA.4056PMID:29914874
SPNCRNA.4055PMID:29914874
SPNCRNA.4054PMID:29914874
SPNCRNA.4053PMID:29914874
SPNCRNA.4052PMID:29914874
SPNCRNA.4051PMID:29914874
SPNCRNA.4050PMID:29914874
SPNCRNA.4049PMID:29914874
SPNCRNA.4048PMID:29914874
SPNCRNA.4047PMID:29914874
SPNCRNA.4046PMID:29914874
SPNCRNA.4045PMID:29914874
SPNCRNA.4044PMID:29914874
SPNCRNA.4043PMID:29914874
SPNCRNA.4042PMID:29914874
SPNCRNA.4062PMID:29914874
SPNCRNA.4063PMID:29914874
SPNCRNA.4064PMID:29914874
SPNCRNA.4076PMID:29914874
SPNCRNA.4084PMID:29914874
SPNCRNA.4083PMID:29914874
SPNCRNA.4082PMID:29914874
SPNCRNA.4081PMID:29914874
SPNCRNA.4080PMID:29914874
SPNCRNA.6888PMID:29914874
SPNCRNA.4079PMID:29914874
SPNCRNA.4078PMID:29914874
SPNCRNA.4077PMID:29914874
SPNCRNA.4075PMID:29914874
SPNCRNA.4065PMID:29914874
SPNCRNA.4074PMID:29914874
SPNCRNA.4073PMID:29914874
SPNCRNA.4072PMID:29914874
SPNCRNA.4071PMID:29914874
SPNCRNA.4070PMID:29914874
SPNCRNA.4069PMID:29914874
SPNCRNA.4068PMID:29914874
SPNCRNA.4067PMID:29914874
SPNCRNA.4066PMID:29914874
SPNCRNA.4041PMID:29914874
SPNCRNA.4040PMID:29914874
SPNCRNA.4039PMID:29914874
SPNCRNA.4007PMID:29914874
SPNCRNA.4015PMID:29914874
SPNCRNA.4014PMID:29914874
SPNCRNA.4013PMID:29914874
SPNCRNA.4012PMID:29914874
SPNCRNA.4011PMID:29914874
SPNCRNA.4010PMID:29914874
SPNCRNA.6892PMID:29914874
SPNCRNA.4009PMID:29914874
SPNCRNA.4008PMID:29914874
SPNCRNA.4006PMID:29914874
SPNCRNA.4017PMID:29914874
SPNCRNA.4005PMID:29914874
SPNCRNA.4004PMID:29914874
SPNCRNA.4003PMID:29914874
SPNCRNA.4002PMID:29914874
SPNCRNA.4001PMID:29914874
SPNCRNA.4000PMID:29914874
SPNCRNA.6893PMID:29914874
SPNCRNA.6894PMID:29914874
SPNCRNA.3999PMID:29914874
SPNCRNA.4016PMID:29914874
SPNCRNA.4018PMID:29914874
SPNCRNA.4038PMID:29914874
SPNCRNA.4029PMID:29914874
SPNCRNA.4037PMID:29914874
SPNCRNA.4036PMID:29914874
SPNCRNA.4035PMID:29914874
SPNCRNA.4034PMID:29914874
SPNCRNA.4033PMID:29914874
SPNCRNA.4032PMID:29914874
SPNCRNA.4031PMID:29914874
SPNCRNA.4030PMID:29914874
SPNCRNA.6890PMID:29914874
SPNCRNA.4028PMID:29914874
SPNCRNA.4019PMID:29914874
SPNCRNA.4027PMID:29914874
SPNCRNA.4026PMID:29914874
SPNCRNA.4025PMID:29914874
SPNCRNA.4024PMID:29914874
SPNCRNA.4023PMID:29914874
SPNCRNA.4022PMID:29914874
SPNCRNA.4021PMID:29914874
SPNCRNA.4020PMID:29914874
SPNCRNA.6891PMID:29914874
SPNCRNA.4085PMID:29914874
SPNCRNA.4086PMID:29914874
SPNCRNA.4087PMID:29914874
SPNCRNA.4144PMID:29914874
SPNCRNA.4152PMID:29914874
SPNCRNA.4151PMID:29914874
SPNCRNA.4150PMID:29914874
SPNCRNA.6884PMID:29914874
SPNCRNA.4149PMID:29914874
SPNCRNA.4148PMID:29914874
SPNCRNA.4147PMID:29914874
SPNCRNA.4146PMID:29914874
SPNCRNA.4145PMID:29914874
SPNCRNA.4143PMID:29914874
SPNCRNA.4154PMID:29914874
SPNCRNA.4142PMID:29914874
SPNCRNA.4141PMID:29914874
SPNCRNA.4140PMID:29914874
SPNCRNA.6885PMID:29914874
SPNCRNA.4139PMID:29914874
SPNCRNA.4138PMID:29914874
SPNCRNA.4137PMID:29914874
SPNCRNA.4136PMID:29914874
SPNCRNA.4135PMID:29914874
SPNCRNA.4153PMID:29914874
SPNCRNA.4155PMID:29914874
SPNCRNA.4133PMID:29914874
SPNCRNA.4167PMID:29914874
SPNCRNA.4175PMID:29914874
SPNCRNA.4174PMID:29914874
SPNCRNA.4173PMID:29914874
SPNCRNA.4172PMID:29914874
SPNCRNA.4171PMID:29914874
SPNCRNA.4170PMID:29914874
SPNCRNA.6883PMID:29914874
SPNCRNA.4169PMID:29914874
SPNCRNA.4168PMID:29914874
SPNCRNA.4166PMID:29914874
SPNCRNA.4156PMID:29914874
SPNCRNA.4165PMID:29914874
SPNCRNA.4164PMID:29914874
SPNCRNA.4163PMID:29914874
SPNCRNA.4162PMID:29914874
SPNCRNA.4161PMID:29914874
SPNCRNA.4160PMID:29914874
SPNCRNA.4159PMID:29914874
SPNCRNA.4158PMID:29914874
SPNCRNA.4157PMID:29914874
SPNCRNA.4134PMID:29914874
SPNCRNA.4132PMID:29914874
SPNCRNA.4088PMID:29914874
SPNCRNA.4099PMID:29914874
SPNCRNA.4108PMID:29914874
SPNCRNA.4107PMID:29914874
SPNCRNA.4106PMID:29914874
SPNCRNA.4105PMID:29914874
SPNCRNA.4104PMID:29914874
SPNCRNA.4103PMID:29914874
SPNCRNA.4102PMID:29914874
SPNCRNA.4101PMID:29914874
SPNCRNA.4100PMID:29914874
SPNCRNA.4098PMID:29914874
SPNCRNA.4110PMID:29914874
SPNCRNA.4097PMID:29914874
SPNCRNA.4096PMID:29914874
SPNCRNA.4095PMID:29914874
SPNCRNA.4094PMID:29914874
SPNCRNA.4093PMID:29914874
SPNCRNA.4092PMID:29914874
SPNCRNA.4091PMID:29914874
SPNCRNA.4090PMID:29914874
SPNCRNA.4089PMID:29914874
SPNCRNA.4109PMID:29914874
SPNCRNA.4111PMID:29914874
SPNCRNA.4131PMID:29914874
SPNCRNA.4122PMID:29914874
SPNCRNA.4130PMID:29914874
SPNCRNA.6886PMID:29914874
SPNCRNA.4129PMID:29914874
SPNCRNA.4128PMID:29914874
SPNCRNA.4127PMID:29914874
SPNCRNA.4126PMID:29914874
SPNCRNA.4125PMID:29914874
SPNCRNA.4124PMID:29914874
SPNCRNA.4123PMID:29914874
SPNCRNA.4121PMID:29914874
SPNCRNA.4112PMID:29914874
SPNCRNA.4120PMID:29914874
SPNCRNA.6887PMID:29914874
SPNCRNA.4119PMID:29914874
SPNCRNA.4118PMID:29914874
SPNCRNA.4117PMID:29914874
SPNCRNA.4116PMID:29914874
SPNCRNA.4115PMID:29914874
SPNCRNA.4114PMID:29914874
SPNCRNA.4113PMID:29914874
SPNCRNA.3998PMID:29914874
SPNCRNA.3996PMID:29914874
SPNCRNA.4177PMID:29914874
SPNCRNA.3995PMID:29914874
SPNCRNA.3884PMID:29914874
SPNCRNA.3883PMID:29914874
SPNCRNA.3882PMID:29914874
SPNCRNA.3881PMID:29914874
SPNCRNA.3880PMID:29914874
SPNCRNA.6905PMID:29914874
SPNCRNA.3879PMID:29914874
SPNCRNA.3878PMID:29914874
SPNCRNA.3877PMID:29914874
SPNCRNA.3876PMID:29914874
SPNCRNA.3875PMID:29914874
SPNCRNA.3874PMID:29914874
SPNCRNA.3873PMID:29914874
SPNCRNA.3872PMID:29914874
SPNCRNA.3871PMID:29914874
SPNCRNA.3870PMID:29914874
SPNCRNA.6906PMID:29914874
SPNCRNA.3869PMID:29914874
SPNCRNA.3868PMID:29914874
SPNCRNA.3867PMID:29914874
SPNCRNA.3866PMID:29914874
SPNCRNA.3885PMID:29914874
SPNCRNA.3886PMID:29914874
SPNCRNA.3887PMID:29914874
SPNCRNA.3898PMID:29914874
SPNCRNA.3905PMID:29914874
SPNCRNA.3904PMID:29914874
SPNCRNA.3903PMID:29914874
SPNCRNA.3902PMID:29914874
SPNCRNA.3901PMID:29914874
SPNCRNA.3900PMID:29914874
SPNCRNA.6902PMID:29914874
SPNCRNA.6903PMID:29914874
SPNCRNA.3899PMID:29914874
SPNCRNA.3897PMID:29914874
SPNCRNA.3888PMID:29914874
SPNCRNA.3896PMID:29914874
SPNCRNA.3895PMID:29914874
SPNCRNA.3894PMID:29914874
SPNCRNA.3893PMID:29914874
SPNCRNA.3892PMID:29914874
SPNCRNA.3891PMID:29914874
SPNCRNA.3890PMID:29914874
SPNCRNA.6904PMID:29914874
SPNCRNA.3889PMID:29914874
SPNCRNA.3865PMID:29914874
SPNCRNA.3864PMID:29914874
SPNCRNA.3863PMID:29914874
SPNCRNA.3830PMID:29914874
SPNCRNA.3839PMID:29914874
SPNCRNA.3838PMID:29914874
SPNCRNA.3837PMID:29914874
SPNCRNA.3836PMID:29914874
SPNCRNA.3835PMID:29914874
SPNCRNA.3834PMID:29914874
SPNCRNA.3833PMID:29914874
SPNCRNA.3832PMID:29914874
SPNCRNA.3831PMID:29914874
SPNCRNA.6909PMID:29914874
SPNCRNA.3840PMID:29914874
SPNCRNA.3829PMID:29914874
SPNCRNA.3828PMID:29914874
SPNCRNA.6706PMID:29914874
SPNCRNA.3826PMID:29914874
SPNCRNA.3825PMID:29914874
SPNCRNA.3824PMID:29914874
SPNCRNA.3823PMID:29914874
SPNCRNA.3822PMID:29914874
SPNCRNA.3821PMID:29914874
SPNCRNA.6908PMID:29914874
SPNCRNA.3841PMID:29914874
SPNCRNA.3862PMID:29914874
SPNCRNA.3852PMID:29914874
SPNCRNA.3861PMID:29914874
SPNCRNA.3860PMID:29914874
SPNCRNA.3859PMID:29914874
SPNCRNA.3858PMID:29914874
SPNCRNA.3857PMID:29914874
SPNCRNA.3856PMID:29914874
SPNCRNA.3855PMID:29914874
SPNCRNA.3854PMID:29914874
SPNCRNA.3853PMID:29914874
SPNCRNA.3851PMID:29914874
SPNCRNA.3842PMID:29914874
SPNCRNA.3850PMID:29914874
SPNCRNA.6907PMID:29914874
SPNCRNA.3849PMID:29914874
SPNCRNA.3848PMID:29914874
SPNCRNA.3847PMID:29914874
SPNCRNA.3846PMID:29914874
SPNCRNA.3845PMID:29914874
SPNCRNA.3844PMID:29914874
SPNCRNA.3843PMID:29914874
SPNCRNA.3906PMID:29914874
SPNCRNA.3907PMID:29914874
SPNCRNA.3908PMID:29914874
SPNCRNA.3964PMID:29914874
SPNCRNA.3972PMID:29914874
SPNCRNA.3971PMID:29914874
SPNCRNA.3970PMID:29914874
SPNCRNA.6897PMID:29914874
SPNCRNA.3969PMID:29914874
SPNCRNA.3968PMID:29914874
SPNCRNA.3967PMID:29914874
SPNCRNA.3966PMID:29914874
SPNCRNA.3965PMID:29914874
SPNCRNA.3963PMID:29914874
SPNCRNA.3974PMID:29914874
SPNCRNA.3962PMID:29914874
SPNCRNA.3961PMID:29914874
SPNCRNA.3960PMID:29914874
SPNCRNA.6898PMID:29914874
SPNCRNA.3959PMID:29914874
SPNCRNA.3958PMID:29914874
SPNCRNA.3957PMID:29914874
SPNCRNA.3956PMID:29914874
SPNCRNA.3955PMID:29914874
SPNCRNA.3973PMID:29914874
SPNCRNA.3975PMID:29914874
SPNCRNA.3953PMID:29914874
SPNCRNA.3986PMID:29914874
SPNCRNA.3994PMID:29914874
SPNCRNA.3993PMID:29914874
SPNCRNA.3992PMID:29914874
SPNCRNA.3991PMID:29914874
SPNCRNA.3990PMID:29914874
SPNCRNA.6895PMID:29914874
SPNCRNA.3989PMID:29914874
SPNCRNA.3988PMID:29914874
SPNCRNA.3987PMID:29914874
SPNCRNA.3985PMID:29914874
SPNCRNA.3976PMID:29914874
SPNCRNA.3984PMID:29914874
SPNCRNA.3983PMID:29914874
SPNCRNA.3982PMID:29914874
SPNCRNA.3981PMID:29914874
SPNCRNA.3980PMID:29914874
SPNCRNA.6896PMID:29914874
SPNCRNA.3979PMID:29914874
SPNCRNA.3978PMID:29914874
SPNCRNA.3977PMID:29914874
SPNCRNA.3954PMID:29914874
SPNCRNA.3952PMID:29914874
SPNCRNA.3909PMID:29914874
SPNCRNA.3919PMID:29914874
SPNCRNA.3927PMID:29914874
SPNCRNA.3926PMID:29914874
SPNCRNA.3925PMID:29914874
SPNCRNA.3924PMID:29914874
SPNCRNA.3923PMID:29914874
SPNCRNA.3922PMID:29914874
SPNCRNA.3921PMID:29914874
SPNCRNA.3920PMID:29914874
SPNCRNA.6900PMID:29914874
SPNCRNA.3918PMID:29914874
SPNCRNA.3929PMID:29914874
SPNCRNA.3917PMID:29914874
SPNCRNA.3916PMID:29914874
SPNCRNA.3915PMID:29914874
SPNCRNA.3914PMID:29914874
SPNCRNA.3913PMID:29914874
SPNCRNA.3912PMID:29914874
SPNCRNA.3911PMID:29914874
SPNCRNA.3910PMID:29914874
SPNCRNA.6901PMID:29914874
SPNCRNA.3928PMID:29914874
SPNCRNA.3930PMID:29914874
SPNCRNA.3951PMID:29914874
SPNCRNA.3941PMID:29914874
SPNCRNA.3950PMID:29914874
SPNCRNA.3949PMID:29914874
SPNCRNA.3948PMID:29914874
SPNCRNA.3947PMID:29914874
SPNCRNA.3946PMID:29914874
SPNCRNA.3945PMID:29914874
SPNCRNA.3944PMID:29914874
SPNCRNA.3943PMID:29914874
SPNCRNA.3942PMID:29914874
SPNCRNA.3940PMID:29914874
SPNCRNA.3931PMID:29914874
SPNCRNA.6899PMID:29914874
SPNCRNA.3939PMID:29914874
SPNCRNA.3938PMID:29914874
SPNCRNA.3937PMID:29914874
SPNCRNA.3936PMID:29914874
SPNCRNA.3935PMID:29914874
SPNCRNA.3934PMID:29914874
SPNCRNA.3933PMID:29914874
SPNCRNA.3932PMID:29914874
SPNCRNA.4176PMID:29914874
SPNCRNA.4178PMID:29914874
SPNCRNA.4541PMID:29914874
SPNCRNA.4362PMID:29914874
SPNCRNA.4427PMID:29914874
SPNCRNA.4426PMID:29914874
SPNCRNA.4425PMID:29914874
SPNCRNA.4424PMID:29914874
SPNCRNA.4423PMID:29914874
SPNCRNA.4422PMID:29914874
SPNCRNA.4421PMID:29914874
SPNCRNA.4420PMID:29914874
SPNCRNA.6869PMID:29914874
SPNCRNA.4419PMID:29914874
SPNCRNA.4418PMID:29914874
SPNCRNA.4417PMID:29914874
SPNCRNA.4416PMID:29914874
SPNCRNA.4415PMID:29914874
SPNCRNA.4414PMID:29914874
SPNCRNA.4413PMID:29914874
SPNCRNA.4412PMID:29914874
SPNCRNA.4411PMID:29914874
SPNCRNA.4410PMID:29914874
SPNCRNA.4409PMID:29914874
SPNCRNA.4408PMID:29914874
SPNCRNA.4428PMID:29914874
SPNCRNA.4429PMID:29914874
SPNCRNA.6868PMID:29914874
SPNCRNA.4441PMID:29914874
SPNCRNA.6867PMID:29914874
SPNCRNA.4449PMID:29914874
SPNCRNA.4448PMID:29914874
SPNCRNA.4447PMID:29914874
SPNCRNA.4446PMID:29914874
SPNCRNA.4445PMID:29914874
SPNCRNA.4444PMID:29914874
SPNCRNA.4443PMID:29914874
SPNCRNA.4442PMID:29914874
SPNCRNA.4440PMID:29914874
SPNCRNA.4430PMID:29914874
SPNCRNA.4439PMID:29914874
SPNCRNA.4438PMID:29914874
SPNCRNA.4437PMID:29914874
SPNCRNA.4436PMID:29914874
SPNCRNA.4435PMID:29914874
SPNCRNA.4434PMID:29914874
SPNCRNA.4433PMID:29914874
SPNCRNA.4432PMID:29914874
SPNCRNA.4431PMID:29914874
SPNCRNA.4407PMID:29914874
SPNCRNA.4406PMID:29914874
SPNCRNA.4405PMID:29914874
SPNCRNA.4373PMID:29914874
SPNCRNA.4381PMID:29914874
SPNCRNA.4380PMID:29914874
SPNCRNA.6872PMID:29914874
SPNCRNA.4379PMID:29914874
SPNCRNA.4378PMID:29914874
SPNCRNA.4377PMID:29914874
SPNCRNA.4376PMID:29914874
SPNCRNA.4375PMID:29914874
SPNCRNA.4374PMID:29914874
SPNCRNA.4372PMID:29914874
SPNCRNA.4383PMID:29914874
SPNCRNA.4371PMID:29914874
SPNCRNA.4370PMID:29914874
SPNCRNA.6873PMID:29914874
SPNCRNA.4369PMID:29914874
SPNCRNA.4368PMID:29914874
SPNCRNA.4367PMID:29914874
SPNCRNA.4366PMID:29914874
SPNCRNA.4365PMID:29914874
SPNCRNA.4364PMID:29914874
SPNCRNA.4382PMID:29914874
SPNCRNA.4384PMID:29914874
SPNCRNA.4404PMID:29914874
SPNCRNA.4395PMID:29914874
SPNCRNA.4403PMID:29914874
SPNCRNA.4402PMID:29914874
SPNCRNA.4401PMID:29914874
SPNCRNA.4400PMID:29914874
SPNCRNA.6870PMID:29914874
SPNCRNA.4399PMID:29914874
SPNCRNA.4398PMID:29914874
SPNCRNA.4397PMID:29914874
SPNCRNA.4396PMID:29914874
SPNCRNA.4394PMID:29914874
SPNCRNA.4385PMID:29914874
SPNCRNA.4393PMID:29914874
SPNCRNA.4392PMID:29914874
SPNCRNA.4391PMID:29914874
SPNCRNA.4390PMID:29914874
SPNCRNA.6871PMID:29914874
SPNCRNA.4389PMID:29914874
SPNCRNA.4388PMID:29914874
SPNCRNA.4387PMID:29914874
SPNCRNA.4386PMID:29914874
SPNCRNA.4450PMID:29914874
SPNCRNA.4451PMID:29914874
SPNCRNA.4452PMID:29914874
SPNCRNA.4509PMID:29914874
SPNCRNA.4517PMID:29914874
SPNCRNA.4516PMID:29914874
SPNCRNA.4515PMID:29914874
SPNCRNA.4514PMID:29914874
SPNCRNA.4513PMID:29914874
SPNCRNA.4512PMID:29914874
SPNCRNA.4511PMID:29914874
SPNCRNA.4510PMID:29914874
SPNCRNA.6861PMID:29914874
SPNCRNA.4508PMID:29914874
SPNCRNA.4519PMID:29914874
SPNCRNA.4507PMID:29914874
SPNCRNA.4506PMID:29914874
SPNCRNA.4505PMID:29914874
SPNCRNA.4504PMID:29914874
SPNCRNA.4503PMID:29914874
SPNCRNA.4502PMID:29914874
SPNCRNA.4501PMID:29914874
SPNCRNA.4500PMID:29914874
SPNCRNA.6862PMID:29914874
SPNCRNA.4518PMID:29914874
SPNCRNA.6860PMID:29914874
SPNCRNA.4498PMID:29914874
SPNCRNA.4531PMID:29914874
SPNCRNA.4540PMID:29914874
SPNCRNA.6859PMID:29914874
SPNCRNA.4539PMID:29914874
SPNCRNA.4537PMID:29914874
SPNCRNA.4536PMID:29914874
SPNCRNA.4535PMID:29914874
SPNCRNA.4534PMID:29914874
SPNCRNA.4533PMID:29914874
SPNCRNA.4532PMID:29914874
SPNCRNA.4530PMID:29914874
SPNCRNA.4520PMID:29914874
SPNCRNA.4529PMID:29914874
SPNCRNA.4528PMID:29914874
SPNCRNA.4527PMID:29914874
SPNCRNA.4526PMID:29914874
SPNCRNA.4525PMID:29914874
SPNCRNA.4524PMID:29914874
SPNCRNA.4523PMID:29914874
SPNCRNA.4522PMID:29914874
SPNCRNA.4521PMID:29914874
SPNCRNA.6863PMID:29914874
SPNCRNA.4497PMID:29914874
SPNCRNA.4453PMID:29914874
SPNCRNA.4463PMID:29914874
SPNCRNA.4472PMID:29914874
SPNCRNA.4471PMID:29914874
SPNCRNA.4470PMID:29914874
SPNCRNA.4469PMID:29914874
SPNCRNA.4468PMID:29914874
SPNCRNA.4467PMID:29914874
SPNCRNA.4466PMID:29914874
SPNCRNA.4465PMID:29914874
SPNCRNA.4464PMID:29914874
SPNCRNA.4462PMID:29914874
SPNCRNA.4474PMID:29914874
SPNCRNA.4461PMID:29914874
SPNCRNA.4460PMID:29914874
SPNCRNA.6866PMID:29914874
SPNCRNA.4459PMID:29914874
SPNCRNA.4458PMID:29914874
SPNCRNA.4457PMID:29914874
SPNCRNA.4456PMID:29914874
SPNCRNA.4455PMID:29914874
SPNCRNA.4454PMID:29914874
SPNCRNA.4473PMID:29914874
SPNCRNA.4475PMID:29914874
SPNCRNA.4495PMID:29914874
SPNCRNA.4486PMID:29914874
SPNCRNA.4494PMID:29914874
SPNCRNA.4493PMID:29914874
SPNCRNA.4492PMID:29914874
SPNCRNA.4491PMID:29914874
SPNCRNA.4490PMID:29914874
SPNCRNA.6864PMID:29914874
SPNCRNA.4489PMID:29914874
SPNCRNA.4488PMID:29914874
SPNCRNA.4487PMID:29914874
SPNCRNA.4485PMID:29914874
SPNCRNA.4476PMID:29914874
SPNCRNA.4484PMID:29914874
SPNCRNA.4483PMID:29914874
SPNCRNA.4482PMID:29914874
SPNCRNA.4481PMID:29914874
SPNCRNA.4480PMID:29914874
SPNCRNA.6865PMID:29914874
SPNCRNA.4479PMID:29914874
SPNCRNA.4478PMID:29914874
SPNCRNA.4477PMID:29914874
SPNCRNA.4363PMID:29914874
SPNCRNA.4361PMID:29914874
SPNCRNA.4179PMID:29914874
SPNCRNA.4360PMID:29914874
SPNCRNA.4245PMID:29914874
SPNCRNA.4244PMID:29914874
SPNCRNA.4243PMID:29914874
SPNCRNA.4242PMID:29914874
SPNCRNA.4241PMID:29914874
SPNCRNA.4240PMID:29914874
SPNCRNA.4239PMID:29914874
SPNCRNA.4238PMID:29914874
SPNCRNA.4237PMID:29914874
SPNCRNA.4236PMID:29914874
SPNCRNA.4235PMID:29914874
SPNCRNA.4234PMID:29914874
SPNCRNA.4233PMID:29914874
SPNCRNA.4232PMID:29914874
SPNCRNA.4231PMID:29914874
SPNCRNA.4230PMID:29914874
SPNCRNA.6880PMID:29914874
SPNCRNA.4229PMID:29914874
SPNCRNA.4228PMID:29914874
SPNCRNA.4227PMID:29914874
SPNCRNA.4226PMID:29914874
SPNCRNA.4246PMID:29914874
SPNCRNA.4247PMID:29914874
SPNCRNA.4248PMID:29914874
SPNCRNA.4260PMID:29914874
SPNCRNA.4269PMID:29914874
SPNCRNA.4268PMID:29914874
SPNCRNA.4267PMID:29914874
SPNCRNA.4266PMID:29914874
SPNCRNA.4265PMID:29914874
SPNCRNA.4264PMID:29914874
SPNCRNA.4263PMID:29914874
SPNCRNA.4262PMID:29914874
SPNCRNA.4261PMID:29914874
SPNCRNA.4259PMID:29914874
SPNCRNA.4249PMID:29914874
SPNCRNA.4258PMID:29914874
SPNCRNA.4257PMID:29914874
SPNCRNA.4256PMID:29914874
SPNCRNA.4255PMID:29914874
SPNCRNA.4254PMID:29914874
SPNCRNA.4253PMID:29914874
SPNCRNA.4252PMID:29914874
SPNCRNA.4251PMID:29914874
SPNCRNA.4250PMID:29914874
SPNCRNA.4225PMID:29914874
SPNCRNA.4224PMID:29914874
SPNCRNA.4223PMID:29914874
SPNCRNA.4190PMID:29914874
SPNCRNA.4199PMID:29914874
SPNCRNA.4198PMID:29914874
SPNCRNA.4197PMID:29914874
SPNCRNA.4196PMID:29914874
SPNCRNA.4195PMID:29914874
SPNCRNA.4194PMID:29914874
SPNCRNA.4193PMID:29914874
SPNCRNA.4192PMID:29914874
SPNCRNA.4191PMID:29914874
SPNCRNA.4189PMID:29914874
SPNCRNA.4200PMID:29914874
SPNCRNA.4188PMID:29914874
SPNCRNA.4187PMID:29914874
SPNCRNA.4186PMID:29914874
SPNCRNA.4185PMID:29914874
SPNCRNA.4184PMID:29914874
SPNCRNA.4183PMID:29914874
SPNCRNA.4182PMID:29914874
SPNCRNA.4181PMID:29914874
SPNCRNA.4180PMID:29914874
SPNCRNA.6882PMID:29914874
SPNCRNA.4201PMID:29914874
SPNCRNA.4222PMID:29914874
SPNCRNA.4212PMID:29914874
SPNCRNA.4221PMID:29914874
SPNCRNA.4220PMID:29914874
SPNCRNA.4219PMID:29914874
SPNCRNA.4218PMID:29914874
SPNCRNA.4217PMID:29914874
SPNCRNA.4216PMID:29914874
SPNCRNA.4215PMID:29914874
SPNCRNA.4214PMID:29914874
SPNCRNA.4213PMID:29914874
SPNCRNA.4211PMID:29914874
SPNCRNA.4202PMID:29914874
SPNCRNA.4210PMID:29914874
SPNCRNA.6881PMID:29914874
SPNCRNA.4209PMID:29914874
SPNCRNA.4208PMID:29914874
SPNCRNA.4207PMID:29914874
SPNCRNA.4206PMID:29914874
SPNCRNA.4205PMID:29914874
SPNCRNA.4204PMID:29914874
SPNCRNA.4203PMID:29914874
SPNCRNA.6879PMID:29914874
SPNCRNA.4270PMID:29914874
SPNCRNA.4271PMID:29914874
SPNCRNA.4327PMID:29914874
SPNCRNA.4336PMID:29914874
SPNCRNA.4335PMID:29914874
SPNCRNA.4334PMID:29914874
SPNCRNA.4333PMID:29914874
SPNCRNA.4332PMID:29914874
SPNCRNA.4331PMID:29914874
SPNCRNA.4330PMID:29914874
SPNCRNA.4329PMID:29914874
SPNCRNA.4328PMID:29914874
SPNCRNA.4326PMID:29914874
SPNCRNA.4338PMID:29914874
SPNCRNA.4325PMID:29914874
SPNCRNA.4324PMID:29914874
SPNCRNA.4323PMID:29914874
SPNCRNA.4322PMID:29914874
SPNCRNA.4321PMID:29914874
SPNCRNA.4320PMID:29914874
SPNCRNA.6875PMID:29914874
SPNCRNA.4319PMID:29914874
SPNCRNA.4318PMID:29914874
SPNCRNA.4337PMID:29914874
SPNCRNA.4339PMID:29914874
SPNCRNA.4316PMID:29914874
SPNCRNA.4350PMID:29914874
SPNCRNA.4359PMID:29914874
SPNCRNA.4358PMID:29914874
SPNCRNA.4357PMID:29914874
SPNCRNA.4356PMID:29914874
SPNCRNA.4355PMID:29914874
SPNCRNA.4354PMID:29914874
SPNCRNA.4353PMID:29914874
SPNCRNA.4352PMID:29914874
SPNCRNA.4351PMID:29914874
SPNCRNA.6874PMID:29914874
SPNCRNA.4340PMID:29914874
SPNCRNA.4349PMID:29914874
SPNCRNA.4348PMID:29914874
SPNCRNA.4347PMID:29914874
SPNCRNA.4346PMID:29914874
SPNCRNA.4345PMID:29914874
SPNCRNA.4344PMID:29914874
SPNCRNA.4343PMID:29914874
SPNCRNA.4342PMID:29914874
SPNCRNA.4341PMID:29914874
SPNCRNA.4317PMID:29914874
SPNCRNA.4315PMID:29914874
SPNCRNA.4272PMID:29914874
SPNCRNA.4282PMID:29914874
SPNCRNA.4291PMID:29914874
SPNCRNA.4290PMID:29914874
SPNCRNA.4289PMID:29914874
SPNCRNA.4288PMID:29914874
SPNCRNA.4287PMID:29914874
SPNCRNA.4286PMID:29914874
SPNCRNA.4285PMID:29914874
SPNCRNA.4284PMID:29914874
SPNCRNA.4283PMID:29914874
SPNCRNA.4281PMID:29914874
SPNCRNA.4293PMID:29914874
SPNCRNA.4280PMID:29914874
SPNCRNA.6878PMID:29914874
SPNCRNA.4279PMID:29914874
SPNCRNA.4278PMID:29914874
SPNCRNA.4277PMID:29914874
SPNCRNA.4276PMID:29914874
SPNCRNA.4275PMID:29914874
SPNCRNA.4274PMID:29914874
SPNCRNA.4273PMID:29914874
SPNCRNA.4292PMID:29914874
SPNCRNA.4294PMID:29914874
SPNCRNA.4314PMID:29914874
SPNCRNA.4305PMID:29914874
SPNCRNA.4313PMID:29914874
SPNCRNA.4312PMID:29914874
SPNCRNA.4311PMID:29914874
SPNCRNA.4310PMID:29914874
SPNCRNA.6876PMID:29914874
SPNCRNA.4309PMID:29914874
SPNCRNA.4308PMID:29914874
SPNCRNA.4307PMID:29914874
SPNCRNA.4306PMID:29914874
SPNCRNA.4304PMID:29914874
SPNCRNA.4295PMID:29914874
SPNCRNA.4303PMID:29914874
SPNCRNA.4302PMID:29914874
SPNCRNA.4301PMID:29914874
SPNCRNA.4300PMID:29914874
SPNCRNA.6877PMID:29914874
SPNCRNA.4299PMID:29914874
SPNCRNA.4298PMID:29914874
SPNCRNA.4297PMID:29914874
SPNCRNA.4296PMID:29914874
SPNCRNA.5268PMID:29914874
SPNCRNA.5270PMID:29914874
SPNCRNA.3819PMID:29914874
SPNCRNA.6757PMID:29914874
SPNCRNA.6242PMID:29914874
SPNCRNA.6241PMID:29914874
SPNCRNA.6240PMID:29914874
SPNCRNA.6750PMID:29914874
SPNCRNA.6239PMID:29914874
SPNCRNA.6238PMID:29914874
SPNCRNA.6237PMID:29914874
SPNCRNA.6236PMID:29914874
SPNCRNA.6235PMID:29914874
SPNCRNA.6234PMID:29914874
SPNCRNA.6233PMID:29914874
SPNCRNA.6232PMID:29914874
SPNCRNA.6231PMID:29914874
SPNCRNA.6230PMID:29914874
SPNCRNA.6751PMID:29914874
SPNCRNA.6229PMID:29914874
SPNCRNA.6228PMID:29914874
SPNCRNA.6227PMID:29914874
SPNCRNA.6226PMID:29914874
SPNCRNA.6225PMID:29914874
SPNCRNA.6224PMID:29914874
SPNCRNA.6243PMID:29914874
SPNCRNA.6244PMID:29914874
SPNCRNA.6245PMID:29914874
SPNCRNA.6257PMID:29914874
SPNCRNA.6265PMID:29914874
SPNCRNA.6264PMID:29914874
SPNCRNA.6263PMID:29914874
SPNCRNA.6262PMID:29914874
SPNCRNA.6261PMID:29914874
SPNCRNA.6260PMID:29914874
SPNCRNA.6749PMID:29914874
SPNCRNA.6259PMID:29914874
SPNCRNA.6258PMID:29914874
SPNCRNA.6256PMID:29914874
SPNCRNA.6246PMID:29914874
SPNCRNA.6255PMID:29914874
SPNCRNA.6254PMID:29914874
SPNCRNA.6253PMID:29914874
SPNCRNA.6252PMID:29914874
SPNCRNA.6251PMID:29914874
SPNCRNA.6250PMID:29914874
SPNCRNA.6249PMID:29914874
SPNCRNA.6248PMID:29914874
SPNCRNA.6247PMID:29914874
SPNCRNA.6223PMID:29914874
SPNCRNA.6222PMID:29914874
SPNCRNA.6221PMID:29914874
SPNCRNA.6190PMID:29914874
SPNCRNA.6199PMID:29914874
SPNCRNA.6198PMID:29914874
SPNCRNA.6197PMID:29914874
SPNCRNA.6196PMID:29914874
SPNCRNA.6195PMID:29914874
SPNCRNA.6194PMID:29914874
SPNCRNA.6193PMID:29914874
SPNCRNA.6192PMID:29914874
SPNCRNA.6191PMID:29914874
SPNCRNA.6756PMID:29914874
SPNCRNA.6754PMID:29914874
SPNCRNA.6189PMID:29914874
SPNCRNA.6188PMID:29914874
SPNCRNA.6187PMID:29914874
SPNCRNA.6186PMID:29914874
SPNCRNA.6185PMID:29914874
SPNCRNA.6184PMID:29914874
SPNCRNA.6183PMID:29914874
SPNCRNA.6182PMID:29914874
SPNCRNA.6181PMID:29914874
SPNCRNA.6755PMID:29914874
SPNCRNA.6200PMID:29914874
SPNCRNA.6220PMID:29914874
SPNCRNA.6211PMID:29914874
SPNCRNA.6752PMID:29914874
SPNCRNA.6219PMID:29914874
SPNCRNA.6218PMID:29914874
SPNCRNA.6217PMID:29914874
SPNCRNA.6216PMID:29914874
SPNCRNA.6215PMID:29914874
SPNCRNA.6214PMID:29914874
SPNCRNA.6213PMID:29914874
SPNCRNA.6212PMID:29914874
SPNCRNA.6210PMID:29914874
SPNCRNA.6201PMID:29914874
SPNCRNA.6753PMID:29914874
SPNCRNA.6209PMID:29914874
SPNCRNA.6208PMID:29914874
SPNCRNA.6207PMID:29914874
SPNCRNA.6206PMID:29914874
SPNCRNA.6205PMID:29914874
SPNCRNA.6204PMID:29914874
SPNCRNA.6203PMID:29914874
SPNCRNA.6202PMID:29914874
SPNCRNA.6266PMID:29914874
SPNCRNA.6267PMID:29914874
SPNCRNA.6268PMID:29914874
SPNCRNA.6322PMID:29914874
SPNCRNA.6330PMID:29914874
SPNCRNA.6742PMID:29914874
SPNCRNA.6329PMID:29914874
SPNCRNA.6328PMID:29914874
SPNCRNA.6327PMID:29914874
SPNCRNA.6326PMID:29914874
SPNCRNA.6325PMID:29914874
SPNCRNA.6324PMID:29914874
SPNCRNA.6323PMID:29914874
SPNCRNA.6321PMID:29914874
SPNCRNA.6332PMID:29914874
SPNCRNA.6320PMID:29914874
SPNCRNA.6743PMID:29914874
SPNCRNA.6319PMID:29914874
SPNCRNA.6318PMID:29914874
SPNCRNA.6317PMID:29914874
SPNCRNA.6316PMID:29914874
SPNCRNA.6315PMID:29914874
SPNCRNA.6314PMID:29914874
SPNCRNA.6313PMID:29914874
SPNCRNA.6331PMID:29914874
SPNCRNA.6333PMID:29914874
SPNCRNA.6311PMID:29914874
SPNCRNA.6344PMID:29914874
SPNCRNA.6352PMID:29914874
SPNCRNA.6351PMID:29914874
SPNCRNA.6350PMID:29914874
SPNCRNA.6740PMID:29914874
SPNCRNA.6349PMID:29914874
SPNCRNA.6348PMID:29914874
SPNCRNA.6347PMID:29914874
SPNCRNA.6346PMID:29914874
SPNCRNA.6345PMID:29914874
SPNCRNA.6343PMID:29914874
SPNCRNA.6334PMID:29914874
SPNCRNA.6342PMID:29914874
SPNCRNA.6341PMID:29914874
SPNCRNA.6340PMID:29914874
SPNCRNA.6741PMID:29914874
SPNCRNA.6339PMID:29914874
SPNCRNA.6338PMID:29914874
SPNCRNA.6337PMID:29914874
SPNCRNA.6336PMID:29914874
SPNCRNA.6335PMID:29914874
SPNCRNA.6312PMID:29914874
SPNCRNA.6310PMID:29914874
SPNCRNA.6269PMID:29914874
SPNCRNA.6279PMID:29914874
SPNCRNA.6287PMID:29914874
SPNCRNA.6286PMID:29914874
SPNCRNA.6285PMID:29914874
SPNCRNA.6284PMID:29914874
SPNCRNA.6283PMID:29914874
SPNCRNA.6282PMID:29914874
SPNCRNA.6281PMID:29914874
SPNCRNA.6280PMID:29914874
SPNCRNA.6747PMID:29914874
SPNCRNA.6278PMID:29914874
SPNCRNA.6289PMID:29914874
SPNCRNA.6277PMID:29914874
SPNCRNA.6276PMID:29914874
SPNCRNA.6275PMID:29914874
SPNCRNA.6274PMID:29914874
SPNCRNA.6273PMID:29914874
SPNCRNA.6272PMID:29914874
SPNCRNA.6271PMID:29914874
SPNCRNA.6270PMID:29914874
SPNCRNA.6748PMID:29914874
SPNCRNA.6288PMID:29914874
SPNCRNA.6746PMID:29914874
SPNCRNA.6744PMID:29914874
SPNCRNA.6300PMID:29914874
SPNCRNA.6309PMID:29914874
SPNCRNA.6308PMID:29914874
SPNCRNA.6307PMID:29914874
SPNCRNA.6306PMID:29914874
SPNCRNA.6305PMID:29914874
SPNCRNA.6304PMID:29914874
SPNCRNA.6303PMID:29914874
SPNCRNA.6302PMID:29914874
SPNCRNA.6301PMID:29914874
SPNCRNA.6745PMID:29914874
SPNCRNA.6290PMID:29914874
SPNCRNA.6299PMID:29914874
SPNCRNA.6298PMID:29914874
SPNCRNA.6297PMID:29914874
SPNCRNA.6296PMID:29914874
SPNCRNA.6295PMID:29914874
SPNCRNA.6294PMID:29914874
SPNCRNA.6293PMID:29914874
SPNCRNA.6292PMID:29914874
SPNCRNA.6291PMID:29914874
SPNCRNA.6180PMID:29914874
SPNCRNA.6179PMID:29914874
SPNCRNA.6003PMID:29914874
SPNCRNA.6178PMID:29914874
SPNCRNA.6068PMID:29914874
SPNCRNA.6067PMID:29914874
SPNCRNA.6066PMID:29914874
SPNCRNA.6065PMID:29914874
SPNCRNA.6064PMID:29914874
SPNCRNA.6063PMID:29914874
SPNCRNA.6062PMID:29914874
SPNCRNA.6061PMID:29914874
SPNCRNA.6060PMID:29914874
SPNCRNA.6769PMID:29914874
SPNCRNA.6059PMID:29914874
SPNCRNA.6058PMID:29914874
SPNCRNA.6057PMID:29914874
SPNCRNA.6056PMID:29914874
SPNCRNA.6055PMID:29914874
SPNCRNA.6054PMID:29914874
SPNCRNA.6053PMID:29914874
SPNCRNA.6052PMID:29914874
SPNCRNA.6051PMID:29914874
SPNCRNA.6050PMID:29914874
SPNCRNA.6049PMID:29914874
SPNCRNA.6069PMID:29914874
SPNCRNA.6768PMID:29914874
SPNCRNA.6070PMID:29914874
SPNCRNA.6081PMID:29914874
SPNCRNA.6766PMID:29914874
SPNCRNA.6089PMID:29914874
SPNCRNA.6088PMID:29914874
SPNCRNA.6087PMID:29914874
SPNCRNA.6086PMID:29914874
SPNCRNA.6085PMID:29914874
SPNCRNA.6084PMID:29914874
SPNCRNA.6083PMID:29914874
SPNCRNA.6082PMID:29914874
SPNCRNA.6080PMID:29914874
SPNCRNA.6071PMID:29914874
SPNCRNA.6767PMID:29914874
SPNCRNA.6079PMID:29914874
SPNCRNA.6078PMID:29914874
SPNCRNA.6077PMID:29914874
SPNCRNA.6076PMID:29914874
SPNCRNA.6075PMID:29914874
SPNCRNA.6074PMID:29914874
SPNCRNA.6073PMID:29914874
SPNCRNA.6072PMID:29914874
SPNCRNA.6048PMID:29914874
SPNCRNA.6047PMID:29914874
SPNCRNA.6046PMID:29914874
SPNCRNA.6014PMID:29914874
SPNCRNA.6022PMID:29914874
SPNCRNA.6021PMID:29914874
SPNCRNA.6020PMID:29914874
SPNCRNA.6772PMID:29914874
SPNCRNA.6019PMID:29914874
SPNCRNA.6018PMID:29914874
SPNCRNA.6017PMID:29914874
SPNCRNA.6016PMID:29914874
SPNCRNA.6015PMID:29914874
SPNCRNA.6013PMID:29914874
SPNCRNA.6024PMID:29914874
SPNCRNA.6012PMID:29914874
SPNCRNA.6011PMID:29914874
SPNCRNA.6010PMID:29914874
SPNCRNA.6773PMID:29914874
SPNCRNA.6009PMID:29914874
SPNCRNA.6008PMID:29914874
SPNCRNA.6007PMID:29914874
SPNCRNA.6006PMID:29914874
SPNCRNA.6005PMID:29914874
SPNCRNA.6023PMID:29914874
SPNCRNA.6025PMID:29914874
SPNCRNA.6045PMID:29914874
SPNCRNA.6036PMID:29914874
SPNCRNA.6044PMID:29914874
SPNCRNA.6043PMID:29914874
SPNCRNA.6042PMID:29914874
SPNCRNA.6041PMID:29914874
SPNCRNA.6040PMID:29914874
SPNCRNA.6770PMID:29914874
SPNCRNA.6039PMID:29914874
SPNCRNA.6038PMID:29914874
SPNCRNA.6037PMID:29914874
SPNCRNA.6035PMID:29914874
SPNCRNA.6026PMID:29914874
SPNCRNA.6034PMID:29914874
SPNCRNA.6033PMID:29914874
SPNCRNA.6032PMID:29914874
SPNCRNA.6031PMID:29914874
SPNCRNA.6030PMID:29914874
SPNCRNA.6771PMID:29914874
SPNCRNA.6029PMID:29914874
SPNCRNA.6028PMID:29914874
SPNCRNA.6027PMID:29914874
SPNCRNA.6090PMID:29914874
SPNCRNA.6091PMID:29914874
SPNCRNA.6092PMID:29914874
SPNCRNA.6146PMID:29914874
SPNCRNA.6155PMID:29914874
SPNCRNA.6154PMID:29914874
SPNCRNA.6153PMID:29914874
SPNCRNA.6152PMID:29914874
SPNCRNA.6151PMID:29914874
SPNCRNA.6150PMID:29914874
SPNCRNA.6149PMID:29914874
SPNCRNA.6148PMID:29914874
SPNCRNA.6147PMID:29914874
SPNCRNA.6145PMID:29914874
SPNCRNA.6157PMID:29914874
SPNCRNA.6144PMID:29914874
SPNCRNA.6143PMID:29914874
SPNCRNA.6142PMID:29914874
SPNCRNA.6141PMID:29914874
SPNCRNA.6140PMID:29914874
SPNCRNA.6760PMID:29914874
SPNCRNA.6139PMID:29914874
SPNCRNA.6138PMID:29914874
SPNCRNA.6137PMID:29914874
SPNCRNA.6156PMID:29914874
SPNCRNA.6158PMID:29914874
SPNCRNA.6135PMID:29914874
SPNCRNA.6169PMID:29914874
SPNCRNA.6177PMID:29914874
SPNCRNA.6176PMID:29914874
SPNCRNA.6175PMID:29914874
SPNCRNA.6174PMID:29914874
SPNCRNA.6173PMID:29914874
SPNCRNA.6172PMID:29914874
SPNCRNA.6171PMID:29914874
SPNCRNA.6170PMID:29914874
SPNCRNA.6758PMID:29914874
SPNCRNA.6168PMID:29914874
SPNCRNA.6159PMID:29914874
SPNCRNA.6167PMID:29914874
SPNCRNA.6166PMID:29914874
SPNCRNA.6165PMID:29914874
SPNCRNA.6164PMID:29914874
SPNCRNA.6163PMID:29914874
SPNCRNA.6162PMID:29914874
SPNCRNA.6161PMID:29914874
SPNCRNA.6160PMID:29914874
SPNCRNA.6759PMID:29914874
SPNCRNA.6136PMID:29914874
SPNCRNA.6134PMID:29914874
SPNCRNA.6093PMID:29914874
SPNCRNA.6102PMID:29914874
SPNCRNA.6110PMID:29914874
SPNCRNA.6763PMID:29914874
SPNCRNA.6109PMID:29914874
SPNCRNA.6108PMID:29914874
SPNCRNA.6107PMID:29914874
SPNCRNA.6106PMID:29914874
SPNCRNA.6105PMID:29914874
SPNCRNA.6104PMID:29914874
SPNCRNA.6103PMID:29914874
SPNCRNA.6101PMID:29914874
SPNCRNA.6112PMID:29914874
SPNCRNA.6100PMID:29914874
SPNCRNA.6764PMID:29914874
SPNCRNA.6765PMID:29914874
SPNCRNA.6099PMID:29914874
SPNCRNA.6098PMID:29914874
SPNCRNA.6097PMID:29914874
SPNCRNA.6096PMID:29914874
SPNCRNA.6095PMID:29914874
SPNCRNA.6094PMID:29914874
SPNCRNA.6111PMID:29914874
SPNCRNA.6113PMID:29914874
SPNCRNA.6133PMID:29914874
SPNCRNA.6124PMID:29914874
SPNCRNA.6132PMID:29914874
SPNCRNA.6131PMID:29914874
SPNCRNA.6130PMID:29914874
SPNCRNA.6761PMID:29914874
SPNCRNA.6129PMID:29914874
SPNCRNA.6128PMID:29914874
SPNCRNA.6127PMID:29914874
SPNCRNA.6126PMID:29914874
SPNCRNA.6125PMID:29914874
SPNCRNA.6123PMID:29914874
SPNCRNA.6114PMID:29914874
SPNCRNA.6122PMID:29914874
SPNCRNA.6121PMID:29914874
SPNCRNA.6120PMID:29914874
SPNCRNA.6762PMID:29914874
SPNCRNA.6119PMID:29914874
SPNCRNA.6118PMID:29914874
SPNCRNA.6117PMID:29914874
SPNCRNA.6116PMID:29914874
SPNCRNA.6115PMID:29914874
SPNCRNA.6353PMID:29914874
SPNCRNA.6354PMID:29914874
SPNCRNA.6355PMID:29914874
SPNCRNA.6356PMID:29914874
SPNCRNA.6596PMID:29914874
SPNCRNA.6595PMID:29914874
SPNCRNA.6594PMID:29914874
SPNCRNA.6593PMID:29914874
SPNCRNA.6592PMID:29914874
SPNCRNA.6591PMID:29914874
SPNCRNA.6590PMID:29914874
SPNCRNA.6719PMID:29914874
SPNCRNA.6589PMID:29914874
SPNCRNA.6588PMID:29914874
SPNCRNA.6587PMID:29914874
SPNCRNA.6586PMID:29914874
SPNCRNA.6585PMID:29914874
SPNCRNA.6584PMID:29914874
SPNCRNA.6583PMID:29914874
SPNCRNA.6582PMID:29914874
SPNCRNA.6581PMID:29914874
SPNCRNA.6580PMID:29914874
SPNCRNA.6579PMID:29914874
SPNCRNA.6578PMID:29914874
SPNCRNA.6577PMID:29914874
SPNCRNA.6597PMID:29914874
SPNCRNA.6598PMID:29914874
SPNCRNA.6599PMID:29914874
SPNCRNA.6609PMID:29914874
SPNCRNA.6617PMID:29914874
SPNCRNA.6616PMID:29914874
SPNCRNA.6615PMID:29914874
SPNCRNA.6614PMID:29914874
SPNCRNA.6613PMID:29914874
SPNCRNA.6612PMID:29914874
SPNCRNA.6611PMID:29914874
SPNCRNA.6610PMID:29914874
SPNCRNA.6716PMID:29914874
SPNCRNA.6608PMID:29914874
SPNCRNA.6718PMID:29914874
SPNCRNA.6607PMID:29914874
SPNCRNA.6606PMID:29914874
SPNCRNA.6605PMID:29914874
SPNCRNA.6604PMID:29914874
SPNCRNA.6603PMID:29914874
SPNCRNA.6602PMID:29914874
SPNCRNA.6601PMID:29914874
SPNCRNA.6600PMID:29914874
SPNCRNA.6717PMID:29914874
SPNCRNA.6576PMID:29914874
SPNCRNA.6575PMID:29914874
SPNCRNA.6574PMID:29914874
SPNCRNA.6542PMID:29914874
SPNCRNA.6550PMID:29914874
SPNCRNA.6722PMID:29914874
SPNCRNA.6549PMID:29914874
SPNCRNA.6548PMID:29914874
SPNCRNA.6547PMID:29914874
SPNCRNA.6546PMID:29914874
SPNCRNA.6545PMID:29914874
SPNCRNA.6544PMID:29914874
SPNCRNA.6543PMID:29914874
SPNCRNA.6541PMID:29914874
SPNCRNA.6552PMID:29914874
SPNCRNA.6540PMID:29914874
SPNCRNA.6723PMID:29914874
SPNCRNA.6539PMID:29914874
SPNCRNA.6538PMID:29914874
SPNCRNA.6537PMID:29914874
SPNCRNA.6536PMID:29914874
SPNCRNA.6535PMID:29914874
SPNCRNA.6534PMID:29914874
SPNCRNA.6533PMID:29914874
SPNCRNA.6551PMID:29914874
SPNCRNA.6553PMID:29914874
SPNCRNA.6573PMID:29914874
SPNCRNA.6564PMID:29914874
SPNCRNA.6572PMID:29914874
SPNCRNA.6571PMID:29914874
SPNCRNA.6570PMID:29914874
SPNCRNA.6720PMID:29914874
SPNCRNA.6569PMID:29914874
SPNCRNA.6568PMID:29914874
SPNCRNA.6567PMID:29914874
SPNCRNA.6566PMID:29914874
SPNCRNA.6565PMID:29914874
SPNCRNA.6563PMID:29914874
SPNCRNA.6554PMID:29914874
SPNCRNA.6562PMID:29914874
SPNCRNA.6561PMID:29914874
SPNCRNA.6560PMID:29914874
SPNCRNA.6721PMID:29914874
SPNCRNA.6559PMID:29914874
SPNCRNA.6558PMID:29914874
SPNCRNA.6557PMID:29914874
SPNCRNA.6556PMID:29914874
SPNCRNA.6555PMID:29914874
SPNCRNA.6618PMID:29914874
SPNCRNA.6619PMID:29914874
SPNCRNA.6715PMID:29914874
SPNCRNA.6674PMID:29914874
SPNCRNA.6683PMID:29914874
SPNCRNA.6682PMID:29914874
SPNCRNA.6681PMID:29914874
SPNCRNA.6680PMID:29914874
SPNCRNA.6679PMID:29914874
SPNCRNA.6678PMID:29914874
SPNCRNA.6677PMID:29914874
SPNCRNA.6676PMID:29914874
SPNCRNA.6675PMID:29914874
SPNCRNA.6673PMID:29914874
SPNCRNA.6685PMID:29914874
SPNCRNA.6672PMID:29914874
SPNCRNA.6671PMID:29914874
SPNCRNA.6670PMID:29914874
SPNCRNA.6710PMID:29914874
SPNCRNA.6669PMID:29914874
SPNCRNA.6668PMID:29914874
SPNCRNA.6667PMID:29914874
SPNCRNA.6666PMID:29914874
SPNCRNA.6665PMID:29914874
SPNCRNA.6684PMID:29914874
SPNCRNA.6686PMID:29914874
SPNCRNA.6663PMID:29914874
SPNCRNA.6697PMID:29914874
SPNCRNA.6704PMID:29914874
SPNCRNA.6703PMID:29914874
SPNCRNA.6702PMID:29914874
SPNCRNA.6701PMID:29914874
SPNCRNA.6700PMID:29914874
SPNCRNA.6707PMID:29914874
SPNCRNA.6708PMID:29914874
SPNCRNA.6699PMID:29914874
SPNCRNA.6698PMID:29914874
SPNCRNA.6696PMID:29914874
SPNCRNA.6687PMID:29914874
SPNCRNA.6695PMID:29914874
SPNCRNA.6694PMID:29914874
SPNCRNA.6693PMID:29914874
SPNCRNA.6692PMID:29914874
SPNCRNA.6691PMID:29914874
SPNCRNA.6690PMID:29914874
SPNCRNA.6709PMID:29914874
SPNCRNA.6689PMID:29914874
SPNCRNA.6688PMID:29914874
SPNCRNA.6664PMID:29914874
SPNCRNA.6662PMID:29914874
SPNCRNA.6620PMID:29914874
SPNCRNA.6630PMID:29914874
SPNCRNA.6639PMID:29914874
SPNCRNA.6638PMID:29914874
SPNCRNA.6637PMID:29914874
SPNCRNA.6636PMID:29914874
SPNCRNA.6635PMID:29914874
SPNCRNA.6634PMID:29914874
SPNCRNA.6633PMID:29914874
SPNCRNA.6632PMID:29914874
SPNCRNA.6631PMID:29914874
SPNCRNA.6714PMID:29914874
SPNCRNA.6640PMID:29914874
SPNCRNA.6629PMID:29914874
SPNCRNA.6628PMID:29914874
SPNCRNA.6627PMID:29914874
SPNCRNA.6626PMID:29914874
SPNCRNA.6625PMID:29914874
SPNCRNA.6624PMID:29914874
SPNCRNA.6623PMID:29914874
SPNCRNA.6622PMID:29914874
SPNCRNA.6621PMID:29914874
SPNCRNA.6713PMID:29914874
SPNCRNA.6641PMID:29914874
SPNCRNA.6661PMID:29914874
SPNCRNA.6652PMID:29914874
SPNCRNA.6660PMID:29914874
SPNCRNA.6711PMID:29914874
SPNCRNA.6659PMID:29914874
SPNCRNA.6658PMID:29914874
SPNCRNA.6657PMID:29914874
SPNCRNA.6656PMID:29914874
SPNCRNA.6655PMID:29914874
SPNCRNA.6654PMID:29914874
SPNCRNA.6653PMID:29914874
SPNCRNA.6651PMID:29914874
SPNCRNA.6642PMID:29914874
SPNCRNA.6650PMID:29914874
SPNCRNA.6712PMID:29914874
SPNCRNA.6649PMID:29914874
SPNCRNA.6648PMID:29914874
SPNCRNA.6647PMID:29914874
SPNCRNA.6646PMID:29914874
SPNCRNA.6645PMID:29914874
SPNCRNA.6644PMID:29914874
SPNCRNA.6643PMID:29914874
SPNCRNA.6532PMID:29914874
SPNCRNA.6531PMID:29914874
SPNCRNA.6530PMID:29914874
SPNCRNA.6410PMID:29914874
SPNCRNA.6419PMID:29914874
SPNCRNA.6418PMID:29914874
SPNCRNA.6417PMID:29914874
SPNCRNA.6416PMID:29914874
SPNCRNA.6415PMID:29914874
SPNCRNA.6414PMID:29914874
SPNCRNA.6413PMID:29914874
SPNCRNA.6412PMID:29914874
SPNCRNA.6411PMID:29914874
SPNCRNA.6735PMID:29914874
SPNCRNA.6420PMID:29914874
SPNCRNA.6409PMID:29914874
SPNCRNA.6408PMID:29914874
SPNCRNA.6407PMID:29914874
SPNCRNA.6406PMID:29914874
SPNCRNA.6405PMID:29914874
SPNCRNA.6404PMID:29914874
SPNCRNA.6403PMID:29914874
SPNCRNA.6402PMID:29914874
SPNCRNA.6401PMID:29914874
SPNCRNA.6734PMID:29914874
SPNCRNA.6421PMID:29914874
SPNCRNA.6736PMID:29914874
SPNCRNA.6432PMID:29914874
SPNCRNA.6440PMID:29914874
SPNCRNA.6732PMID:29914874
SPNCRNA.6439PMID:29914874
SPNCRNA.6438PMID:29914874
SPNCRNA.6437PMID:29914874
SPNCRNA.6436PMID:29914874
SPNCRNA.6435PMID:29914874
SPNCRNA.6434PMID:29914874
SPNCRNA.6433PMID:29914874
SPNCRNA.6431PMID:29914874
SPNCRNA.6422PMID:29914874
SPNCRNA.6430PMID:29914874
SPNCRNA.6733PMID:29914874
SPNCRNA.6429PMID:29914874
SPNCRNA.6428PMID:29914874
SPNCRNA.6427PMID:29914874
SPNCRNA.6426PMID:29914874
SPNCRNA.6425PMID:29914874
SPNCRNA.6424PMID:29914874
SPNCRNA.6423PMID:29914874
SPNCRNA.6400PMID:29914874
SPNCRNA.6399PMID:29914874
SPNCRNA.6442PMID:29914874
SPNCRNA.6367PMID:29914874
SPNCRNA.6375PMID:29914874
SPNCRNA.6374PMID:29914874
SPNCRNA.6373PMID:29914874
SPNCRNA.6372PMID:29914874
SPNCRNA.6371PMID:29914874
SPNCRNA.6370PMID:29914874
SPNCRNA.6739PMID:29914874
SPNCRNA.6369PMID:29914874
SPNCRNA.6368PMID:29914874
SPNCRNA.6366PMID:29914874
SPNCRNA.6377PMID:29914874
SPNCRNA.6365PMID:29914874
SPNCRNA.6364PMID:29914874
SPNCRNA.6363PMID:29914874
SPNCRNA.6362PMID:29914874
SPNCRNA.6361PMID:29914874
SPNCRNA.6360PMID:29914874
SPNCRNA.6359PMID:29914874
SPNCRNA.6358PMID:29914874
SPNCRNA.6357PMID:29914874
SPNCRNA.6376PMID:29914874
SPNCRNA.6378PMID:29914874
SPNCRNA.6398PMID:29914874
SPNCRNA.6389PMID:29914874
SPNCRNA.6397PMID:29914874
SPNCRNA.6396PMID:29914874
SPNCRNA.6395PMID:29914874
SPNCRNA.6394PMID:29914874
SPNCRNA.6393PMID:29914874
SPNCRNA.6392PMID:29914874
SPNCRNA.6391PMID:29914874
SPNCRNA.6390PMID:29914874
SPNCRNA.6737PMID:29914874
SPNCRNA.6388PMID:29914874
SPNCRNA.6379PMID:29914874
SPNCRNA.6387PMID:29914874
SPNCRNA.6386PMID:29914874
SPNCRNA.6385PMID:29914874
SPNCRNA.6384PMID:29914874
SPNCRNA.6383PMID:29914874
SPNCRNA.6382PMID:29914874
SPNCRNA.6381PMID:29914874
SPNCRNA.6380PMID:29914874
SPNCRNA.6738PMID:29914874
SPNCRNA.6441PMID:29914874
SPNCRNA.6443PMID:29914874
SPNCRNA.6724PMID:29914874
SPNCRNA.6499PMID:29914874
SPNCRNA.6507PMID:29914874
SPNCRNA.6506PMID:29914874
SPNCRNA.6505PMID:29914874
SPNCRNA.6504PMID:29914874
SPNCRNA.6503PMID:29914874
SPNCRNA.6502PMID:29914874
SPNCRNA.6501PMID:29914874
SPNCRNA.6500PMID:29914874
SPNCRNA.6727PMID:29914874
SPNCRNA.6498PMID:29914874
SPNCRNA.6509PMID:29914874
SPNCRNA.6497PMID:29914874
SPNCRNA.6496PMID:29914874
SPNCRNA.6495PMID:29914874
SPNCRNA.6494PMID:29914874
SPNCRNA.6493PMID:29914874
SPNCRNA.6492PMID:29914874
SPNCRNA.6491PMID:29914874
SPNCRNA.6490PMID:29914874
SPNCRNA.6728PMID:29914874
SPNCRNA.6508PMID:29914874
SPNCRNA.6726PMID:29914874
SPNCRNA.6488PMID:29914874
SPNCRNA.6520PMID:29914874
SPNCRNA.6529PMID:29914874
SPNCRNA.6528PMID:29914874
SPNCRNA.6527PMID:29914874
SPNCRNA.6526PMID:29914874
SPNCRNA.6525PMID:29914874
SPNCRNA.6524PMID:29914874
SPNCRNA.6523PMID:29914874
SPNCRNA.6522PMID:29914874
SPNCRNA.6521PMID:29914874
SPNCRNA.6725PMID:29914874
SPNCRNA.6510PMID:29914874
SPNCRNA.6519PMID:29914874
SPNCRNA.6518PMID:29914874
SPNCRNA.6517PMID:29914874
SPNCRNA.6516PMID:29914874
SPNCRNA.6515PMID:29914874
SPNCRNA.6514PMID:29914874
SPNCRNA.6513PMID:29914874
SPNCRNA.6512PMID:29914874
SPNCRNA.6511PMID:29914874
SPNCRNA.6489PMID:29914874
SPNCRNA.6487PMID:29914874
SPNCRNA.6444PMID:29914874
SPNCRNA.6454PMID:29914874
SPNCRNA.6462PMID:29914874
SPNCRNA.6461PMID:29914874
SPNCRNA.6460PMID:29914874
SPNCRNA.6730PMID:29914874
SPNCRNA.6459PMID:29914874
SPNCRNA.6458PMID:29914874
SPNCRNA.6457PMID:29914874
SPNCRNA.6456PMID:29914874
SPNCRNA.6455PMID:29914874
SPNCRNA.6453PMID:29914874
SPNCRNA.6464PMID:29914874
SPNCRNA.6452PMID:29914874
SPNCRNA.6451PMID:29914874
SPNCRNA.6450PMID:29914874
SPNCRNA.6731PMID:29914874
SPNCRNA.6449PMID:29914874
SPNCRNA.6448PMID:29914874
SPNCRNA.6447PMID:29914874
SPNCRNA.6446PMID:29914874
SPNCRNA.6445PMID:29914874
SPNCRNA.6463PMID:29914874
SPNCRNA.6465PMID:29914874
SPNCRNA.6486PMID:29914874
SPNCRNA.6477PMID:29914874
SPNCRNA.6485PMID:29914874
SPNCRNA.6484PMID:29914874
SPNCRNA.6483PMID:29914874
SPNCRNA.6482PMID:29914874
SPNCRNA.6481PMID:29914874
SPNCRNA.6480PMID:29914874
SPNCRNA.6729PMID:29914874
SPNCRNA.6479PMID:29914874
SPNCRNA.6478PMID:29914874
SPNCRNA.6476PMID:29914874
SPNCRNA.6466PMID:29914874
SPNCRNA.6475PMID:29914874
SPNCRNA.6474PMID:29914874
SPNCRNA.6473PMID:29914874
SPNCRNA.6472PMID:29914874
SPNCRNA.6471PMID:29914874
SPNCRNA.6470PMID:29914874
SPNCRNA.6469PMID:29914874
SPNCRNA.6468PMID:29914874
SPNCRNA.6467PMID:29914874
SPNCRNA.6004PMID:29914874
SPNCRNA.6002PMID:29914874
SPNCRNA.5271PMID:29914874
SPNCRNA.5455PMID:29914874
SPNCRNA.5524PMID:29914874
SPNCRNA.5523PMID:29914874
SPNCRNA.5522PMID:29914874
SPNCRNA.5521PMID:29914874
SPNCRNA.5520PMID:29914874
SPNCRNA.5519PMID:29914874
SPNCRNA.5518PMID:29914874
SPNCRNA.5517PMID:29914874
SPNCRNA.5516PMID:29914874
SPNCRNA.5515PMID:29914874
SPNCRNA.5514PMID:29914874
SPNCRNA.5513PMID:29914874
SPNCRNA.5512PMID:29914874
SPNCRNA.5511PMID:29914874
SPNCRNA.5510PMID:29914874
SPNCRNA.5509PMID:29914874
SPNCRNA.5508PMID:29914874
SPNCRNA.5507PMID:29914874
SPNCRNA.5506PMID:29914874
SPNCRNA.5505PMID:29914874
SPNCRNA.5504PMID:29914874
SPNCRNA.5525PMID:29914874
SPNCRNA.5526PMID:29914874
SPNCRNA.5527PMID:29914874
SPNCRNA.5539PMID:29914874
SPNCRNA.5547PMID:29914874
SPNCRNA.5546PMID:29914874
SPNCRNA.5545PMID:29914874
SPNCRNA.5544PMID:29914874
SPNCRNA.5543PMID:29914874
SPNCRNA.5542PMID:29914874
SPNCRNA.5541PMID:29914874
SPNCRNA.5540PMID:29914874
SPNCRNA.6802PMID:29914874
SPNCRNA.5538PMID:29914874
SPNCRNA.5528PMID:29914874
SPNCRNA.5537PMID:29914874
SPNCRNA.5536PMID:29914874
SPNCRNA.5535PMID:29914874
SPNCRNA.5534PMID:29914874
SPNCRNA.5533PMID:29914874
SPNCRNA.5532PMID:29914874
SPNCRNA.5531PMID:29914874
SPNCRNA.5530PMID:29914874
SPNCRNA.5529PMID:29914874
SPNCRNA.5503PMID:29914874
SPNCRNA.5502PMID:29914874
SPNCRNA.5501PMID:29914874
SPNCRNA.5467PMID:29914874
SPNCRNA.5476PMID:29914874
SPNCRNA.5475PMID:29914874
SPNCRNA.5474PMID:29914874
SPNCRNA.5473PMID:29914874
SPNCRNA.5472PMID:29914874
SPNCRNA.5471PMID:29914874
SPNCRNA.5470PMID:29914874
SPNCRNA.5469PMID:29914874
SPNCRNA.5468PMID:29914874
SPNCRNA.5466PMID:29914874
SPNCRNA.5478PMID:29914874
SPNCRNA.5465PMID:29914874
SPNCRNA.5464PMID:29914874
SPNCRNA.5463PMID:29914874
SPNCRNA.5462PMID:29914874
SPNCRNA.5461PMID:29914874
SPNCRNA.5460PMID:29914874
SPNCRNA.5459PMID:29914874
SPNCRNA.5458PMID:29914874
SPNCRNA.5457PMID:29914874
SPNCRNA.5477PMID:29914874
SPNCRNA.5479PMID:29914874
SPNCRNA.5500PMID:29914874
SPNCRNA.5490PMID:29914874
SPNCRNA.6803PMID:29914874
SPNCRNA.5499PMID:29914874
SPNCRNA.5497PMID:29914874
SPNCRNA.5496PMID:29914874
SPNCRNA.5495PMID:29914874
SPNCRNA.5494PMID:29914874
SPNCRNA.5493PMID:29914874
SPNCRNA.5492PMID:29914874
SPNCRNA.5491PMID:29914874
SPNCRNA.6804PMID:29914874
SPNCRNA.5480PMID:29914874
SPNCRNA.5489PMID:29914874
SPNCRNA.5488PMID:29914874
SPNCRNA.5487PMID:29914874
SPNCRNA.5486PMID:29914874
SPNCRNA.5485PMID:29914874
SPNCRNA.5484PMID:29914874
SPNCRNA.5483PMID:29914874
SPNCRNA.5482PMID:29914874
SPNCRNA.5481PMID:29914874
SPNCRNA.5548PMID:29914874
SPNCRNA.5549PMID:29914874
SPNCRNA.6801PMID:29914874
SPNCRNA.5606PMID:29914874
SPNCRNA.5614PMID:29914874
SPNCRNA.5613PMID:29914874
SPNCRNA.5612PMID:29914874
SPNCRNA.5611PMID:29914874
SPNCRNA.5610PMID:29914874
SPNCRNA.6797PMID:29914874
SPNCRNA.5609PMID:29914874
SPNCRNA.5608PMID:29914874
SPNCRNA.5607PMID:29914874
SPNCRNA.5605PMID:29914874
SPNCRNA.5616PMID:29914874
SPNCRNA.5604PMID:29914874
SPNCRNA.5603PMID:29914874
SPNCRNA.5602PMID:29914874
SPNCRNA.5601PMID:29914874
SPNCRNA.5600PMID:29914874
SPNCRNA.6798PMID:29914874
SPNCRNA.6799PMID:29914874
SPNCRNA.5599PMID:29914874
SPNCRNA.5598PMID:29914874
SPNCRNA.5615PMID:29914874
SPNCRNA.5617PMID:29914874
SPNCRNA.5596PMID:29914874
SPNCRNA.5628PMID:29914874
SPNCRNA.5636PMID:29914874
SPNCRNA.5635PMID:29914874
SPNCRNA.5634PMID:29914874
SPNCRNA.5633PMID:29914874
SPNCRNA.5632PMID:29914874
SPNCRNA.5631PMID:29914874
SPNCRNA.5630PMID:29914874
SPNCRNA.6795PMID:29914874
SPNCRNA.5629PMID:29914874
SPNCRNA.5627PMID:29914874
SPNCRNA.5618PMID:29914874
SPNCRNA.5626PMID:29914874
SPNCRNA.5625PMID:29914874
SPNCRNA.5624PMID:29914874
SPNCRNA.5623PMID:29914874
SPNCRNA.5622PMID:29914874
SPNCRNA.5621PMID:29914874
SPNCRNA.5620PMID:29914874
SPNCRNA.6796PMID:29914874
SPNCRNA.5619PMID:29914874
SPNCRNA.5597PMID:29914874
SPNCRNA.5595PMID:29914874
SPNCRNA.5550PMID:29914874
SPNCRNA.5560PMID:29914874
SPNCRNA.5569PMID:29914874
SPNCRNA.5568PMID:29914874
SPNCRNA.5567PMID:29914874
SPNCRNA.5566PMID:29914874
SPNCRNA.5565PMID:29914874
SPNCRNA.5564PMID:29914874
SPNCRNA.5563PMID:29914874
SPNCRNA.5562PMID:29914874
SPNCRNA.5561PMID:29914874
SPNCRNA.6800PMID:29914874
SPNCRNA.5571PMID:29914874
SPNCRNA.5559PMID:29914874
SPNCRNA.5558PMID:29914874
SPNCRNA.5557PMID:29914874
SPNCRNA.5556PMID:29914874
SPNCRNA.5555PMID:29914874
SPNCRNA.5554PMID:29914874
SPNCRNA.5553PMID:29914874
SPNCRNA.5552PMID:29914874
SPNCRNA.5551PMID:29914874
SPNCRNA.5570PMID:29914874
SPNCRNA.5572PMID:29914874
SPNCRNA.5594PMID:29914874
SPNCRNA.5584PMID:29914874
SPNCRNA.5593PMID:29914874
SPNCRNA.5592PMID:29914874
SPNCRNA.5591PMID:29914874
SPNCRNA.5590PMID:29914874
SPNCRNA.5589PMID:29914874
SPNCRNA.5588PMID:29914874
SPNCRNA.5587PMID:29914874
SPNCRNA.5586PMID:29914874
SPNCRNA.5585PMID:29914874
SPNCRNA.5583PMID:29914874
SPNCRNA.5573PMID:29914874
SPNCRNA.5582PMID:29914874
SPNCRNA.5581PMID:29914874
SPNCRNA.5580PMID:29914874
SPNCRNA.5579PMID:29914874
SPNCRNA.5578PMID:29914874
SPNCRNA.5577PMID:29914874
SPNCRNA.5576PMID:29914874
SPNCRNA.5575PMID:29914874
SPNCRNA.5574PMID:29914874
SPNCRNA.5456PMID:29914874
SPNCRNA.5454PMID:29914874
SPNCRNA.6001PMID:29914874
SPNCRNA.5453PMID:29914874
SPNCRNA.5337PMID:29914874
SPNCRNA.5336PMID:29914874
SPNCRNA.5335PMID:29914874
SPNCRNA.5334PMID:29914874
SPNCRNA.5333PMID:29914874
SPNCRNA.5332PMID:29914874
SPNCRNA.5331PMID:29914874
SPNCRNA.5330PMID:29914874
SPNCRNA.5329PMID:29914874
SPNCRNA.5328PMID:29914874
SPNCRNA.5327PMID:29914874
SPNCRNA.5326PMID:29914874
SPNCRNA.5325PMID:29914874
SPNCRNA.5324PMID:29914874
SPNCRNA.5323PMID:29914874
SPNCRNA.5322PMID:29914874
SPNCRNA.5321PMID:29914874
SPNCRNA.5320PMID:29914874
SPNCRNA.5319PMID:29914874
SPNCRNA.5318PMID:29914874
SPNCRNA.5317PMID:29914874
SPNCRNA.5338PMID:29914874
SPNCRNA.5339PMID:29914874
SPNCRNA.6809PMID:29914874
SPNCRNA.5351PMID:29914874
SPNCRNA.6808PMID:29914874
SPNCRNA.5359PMID:29914874
SPNCRNA.5358PMID:29914874
SPNCRNA.5357PMID:29914874
SPNCRNA.5356PMID:29914874
SPNCRNA.5355PMID:29914874
SPNCRNA.5354PMID:29914874
SPNCRNA.5353PMID:29914874
SPNCRNA.5352PMID:29914874
SPNCRNA.5350PMID:29914874
SPNCRNA.5340PMID:29914874
SPNCRNA.5349PMID:29914874
SPNCRNA.5348PMID:29914874
SPNCRNA.5347PMID:29914874
SPNCRNA.5346PMID:29914874
SPNCRNA.5345PMID:29914874
SPNCRNA.5344PMID:29914874
SPNCRNA.5343PMID:29914874
SPNCRNA.5342PMID:29914874
SPNCRNA.5341PMID:29914874
SPNCRNA.5316PMID:29914874
SPNCRNA.5315PMID:29914874
SPNCRNA.5314PMID:29914874
SPNCRNA.5282PMID:29914874
SPNCRNA.5290PMID:29914874
SPNCRNA.6812PMID:29914874
SPNCRNA.5289PMID:29914874
SPNCRNA.5288PMID:29914874
SPNCRNA.5287PMID:29914874
SPNCRNA.5286PMID:29914874
SPNCRNA.5285PMID:29914874
SPNCRNA.5284PMID:29914874
SPNCRNA.5283PMID:29914874
SPNCRNA.5281PMID:29914874
SPNCRNA.5292PMID:29914874
SPNCRNA.5280PMID:29914874
SPNCRNA.5279PMID:29914874
SPNCRNA.5278PMID:29914874
SPNCRNA.5277PMID:29914874
SPNCRNA.5276PMID:29914874
SPNCRNA.5275PMID:29914874
SPNCRNA.5274PMID:29914874
SPNCRNA.5273PMID:29914874
SPNCRNA.5272PMID:29914874
SPNCRNA.5291PMID:29914874
SPNCRNA.5293PMID:29914874
SPNCRNA.5313PMID:29914874
SPNCRNA.5303PMID:29914874
SPNCRNA.5312PMID:29914874
SPNCRNA.5311PMID:29914874
SPNCRNA.5310PMID:29914874
SPNCRNA.5309PMID:29914874
SPNCRNA.5308PMID:29914874
SPNCRNA.5307PMID:29914874
SPNCRNA.5306PMID:29914874
SPNCRNA.5305PMID:29914874
SPNCRNA.5304PMID:29914874
SPNCRNA.5302PMID:29914874
SPNCRNA.5294PMID:29914874
SPNCRNA.5301PMID:29914874
SPNCRNA.5300PMID:29914874
SPNCRNA.6810PMID:29914874
SPNCRNA.6811PMID:29914874
SPNCRNA.5299PMID:29914874
SPNCRNA.5298PMID:29914874
SPNCRNA.5297PMID:29914874
SPNCRNA.5296PMID:29914874
SPNCRNA.5295PMID:29914874
SPNCRNA.5360PMID:29914874
SPNCRNA.5361PMID:29914874
SPNCRNA.5362PMID:29914874
SPNCRNA.5420PMID:29914874
SPNCRNA.5429PMID:29914874
SPNCRNA.5428PMID:29914874
SPNCRNA.5427PMID:29914874
SPNCRNA.5426PMID:29914874
SPNCRNA.5425PMID:29914874
SPNCRNA.5424PMID:29914874
SPNCRNA.5423PMID:29914874
SPNCRNA.5422PMID:29914874
SPNCRNA.5421PMID:29914874
SPNCRNA.5419PMID:29914874
SPNCRNA.5431PMID:29914874
SPNCRNA.5418PMID:29914874
SPNCRNA.5417PMID:29914874
SPNCRNA.5416PMID:29914874
SPNCRNA.5415PMID:29914874
SPNCRNA.5414PMID:29914874
SPNCRNA.5413PMID:29914874
SPNCRNA.5412PMID:29914874
SPNCRNA.5411PMID:29914874
SPNCRNA.5410PMID:29914874
SPNCRNA.5430PMID:29914874
SPNCRNA.5432PMID:29914874
SPNCRNA.5408PMID:29914874
SPNCRNA.5444PMID:29914874
SPNCRNA.5452PMID:29914874
SPNCRNA.5451PMID:29914874
SPNCRNA.5450PMID:29914874
SPNCRNA.6805PMID:29914874
SPNCRNA.5449PMID:29914874
SPNCRNA.5448PMID:29914874
SPNCRNA.5447PMID:29914874
SPNCRNA.5446PMID:29914874
SPNCRNA.5445PMID:29914874
SPNCRNA.5443PMID:29914874
SPNCRNA.5433PMID:29914874
SPNCRNA.5442PMID:29914874
SPNCRNA.5441PMID:29914874
SPNCRNA.5440PMID:29914874
SPNCRNA.5439PMID:29914874
SPNCRNA.5438PMID:29914874
SPNCRNA.5437PMID:29914874
SPNCRNA.5436PMID:29914874
SPNCRNA.5435PMID:29914874
SPNCRNA.5434PMID:29914874
SPNCRNA.5409PMID:29914874
SPNCRNA.5407PMID:29914874
SPNCRNA.5363PMID:29914874
SPNCRNA.5374PMID:29914874
SPNCRNA.5383PMID:29914874
SPNCRNA.5382PMID:29914874
SPNCRNA.5381PMID:29914874
SPNCRNA.5380PMID:29914874
SPNCRNA.5379PMID:29914874
SPNCRNA.5378PMID:29914874
SPNCRNA.5377PMID:29914874
SPNCRNA.5376PMID:29914874
SPNCRNA.5375PMID:29914874
SPNCRNA.5373PMID:29914874
SPNCRNA.5385PMID:29914874
SPNCRNA.5372PMID:29914874
SPNCRNA.5371PMID:29914874
SPNCRNA.5370PMID:29914874
SPNCRNA.5369PMID:29914874
SPNCRNA.5368PMID:29914874
SPNCRNA.5367PMID:29914874
SPNCRNA.5366PMID:29914874
SPNCRNA.5365PMID:29914874
SPNCRNA.5364PMID:29914874
SPNCRNA.5384PMID:29914874
SPNCRNA.5386PMID:29914874
SPNCRNA.5406PMID:29914874
SPNCRNA.5398PMID:29914874
SPNCRNA.5405PMID:29914874
SPNCRNA.5404PMID:29914874
SPNCRNA.5403PMID:29914874
SPNCRNA.5402PMID:29914874
SPNCRNA.5401PMID:29914874
SPNCRNA.5400PMID:29914874
SPNCRNA.6806PMID:29914874
SPNCRNA.6807PMID:29914874
SPNCRNA.5399PMID:29914874
SPNCRNA.5397PMID:29914874
SPNCRNA.5387PMID:29914874
SPNCRNA.5396PMID:29914874
SPNCRNA.5395PMID:29914874
SPNCRNA.5394PMID:29914874
SPNCRNA.5393PMID:29914874
SPNCRNA.5392PMID:29914874
SPNCRNA.5391PMID:29914874
SPNCRNA.5390PMID:29914874
SPNCRNA.5389PMID:29914874
SPNCRNA.5388PMID:29914874
SPNCRNA.5637PMID:29914874
SPNCRNA.5638PMID:29914874
SPNCRNA.5639PMID:29914874
SPNCRNA.5640PMID:29914874
SPNCRNA.5881PMID:29914874
SPNCRNA.5880PMID:29914874
SPNCRNA.5879PMID:29914874
SPNCRNA.5878PMID:29914874
SPNCRNA.5877PMID:29914874
SPNCRNA.5876PMID:29914874
SPNCRNA.5875PMID:29914874
SPNCRNA.5874PMID:29914874
SPNCRNA.5873PMID:29914874
SPNCRNA.5872PMID:29914874
SPNCRNA.5871PMID:29914874
SPNCRNA.5870PMID:29914874
SPNCRNA.6775PMID:29914874
SPNCRNA.5869PMID:29914874
SPNCRNA.5868PMID:29914874
SPNCRNA.5867PMID:29914874
SPNCRNA.5866PMID:29914874
SPNCRNA.5865PMID:29914874
SPNCRNA.5864PMID:29914874
SPNCRNA.5863PMID:29914874
SPNCRNA.5862PMID:29914874
SPNCRNA.5882PMID:29914874
SPNCRNA.5883PMID:29914874
SPNCRNA.5884PMID:29914874
SPNCRNA.5896PMID:29914874
SPNCRNA.5905PMID:29914874
SPNCRNA.5904PMID:29914874
SPNCRNA.5903PMID:29914874
SPNCRNA.5902PMID:29914874
SPNCRNA.5901PMID:29914874
SPNCRNA.5900PMID:29914874
SPNCRNA.5899PMID:29914874
SPNCRNA.5898PMID:29914874
SPNCRNA.5897PMID:29914874
SPNCRNA.5895PMID:29914874
SPNCRNA.5885PMID:29914874
SPNCRNA.5894PMID:29914874
SPNCRNA.5893PMID:29914874
SPNCRNA.5892PMID:29914874
SPNCRNA.5891PMID:29914874
SPNCRNA.5890PMID:29914874
SPNCRNA.5889PMID:29914874
SPNCRNA.5888PMID:29914874
SPNCRNA.5887PMID:29914874
SPNCRNA.5886PMID:29914874
SPNCRNA.5861PMID:29914874
SPNCRNA.5860PMID:29914874
SPNCRNA.6776PMID:29914874
SPNCRNA.5828PMID:29914874
SPNCRNA.5836PMID:29914874
SPNCRNA.5835PMID:29914874
SPNCRNA.5834PMID:29914874
SPNCRNA.5833PMID:29914874
SPNCRNA.5832PMID:29914874
SPNCRNA.5831PMID:29914874
SPNCRNA.5830PMID:29914874
SPNCRNA.6779PMID:29914874
SPNCRNA.5829PMID:29914874
SPNCRNA.5827PMID:29914874
SPNCRNA.5838PMID:29914874
SPNCRNA.5826PMID:29914874
SPNCRNA.5825PMID:29914874
SPNCRNA.5824PMID:29914874
SPNCRNA.5823PMID:29914874
SPNCRNA.5822PMID:29914874
SPNCRNA.5821PMID:29914874
SPNCRNA.5820PMID:29914874
SPNCRNA.5819PMID:29914874
SPNCRNA.5818PMID:29914874
SPNCRNA.5837PMID:29914874
SPNCRNA.5839PMID:29914874
SPNCRNA.5859PMID:29914874
SPNCRNA.6777PMID:29914874
SPNCRNA.5858PMID:29914874
SPNCRNA.5857PMID:29914874
SPNCRNA.5856PMID:29914874
SPNCRNA.5855PMID:29914874
SPNCRNA.5854PMID:29914874
SPNCRNA.5853PMID:29914874
SPNCRNA.5852PMID:29914874
SPNCRNA.5851PMID:29914874
SPNCRNA.5850PMID:29914874
SPNCRNA.5849PMID:29914874
SPNCRNA.6778PMID:29914874
SPNCRNA.5848PMID:29914874
SPNCRNA.5847PMID:29914874
SPNCRNA.5846PMID:29914874
SPNCRNA.5845PMID:29914874
SPNCRNA.5844PMID:29914874
SPNCRNA.5843PMID:29914874
SPNCRNA.5842PMID:29914874
SPNCRNA.5841PMID:29914874
SPNCRNA.5840PMID:29914874
SPNCRNA.5906PMID:29914874
SPNCRNA.5907PMID:29914874
SPNCRNA.5908PMID:29914874
SPNCRNA.5968PMID:29914874
SPNCRNA.5977PMID:29914874
SPNCRNA.5976PMID:29914874
SPNCRNA.5975PMID:29914874
SPNCRNA.5974PMID:29914874
SPNCRNA.5973PMID:29914874
SPNCRNA.5972PMID:29914874
SPNCRNA.5971PMID:29914874
SPNCRNA.5970PMID:29914874
SPNCRNA.5969PMID:29914874
SPNCRNA.5967PMID:29914874
SPNCRNA.5979PMID:29914874
SPNCRNA.5966PMID:29914874
SPNCRNA.5965PMID:29914874
SPNCRNA.5964PMID:29914874
SPNCRNA.5963PMID:29914874
SPNCRNA.5962PMID:29914874
SPNCRNA.5961PMID:29914874
SPNCRNA.5960PMID:29914874
SPNCRNA.5959PMID:29914874
SPNCRNA.5958PMID:29914874
SPNCRNA.5978PMID:29914874
SPNCRNA.5980PMID:29914874
SPNCRNA.5956PMID:29914874
SPNCRNA.5992PMID:29914874
SPNCRNA.6000PMID:29914874
SPNCRNA.6774PMID:29914874
SPNCRNA.5999PMID:29914874
SPNCRNA.5998PMID:29914874
SPNCRNA.5997PMID:29914874
SPNCRNA.5996PMID:29914874
SPNCRNA.5995PMID:29914874
SPNCRNA.5994PMID:29914874
SPNCRNA.5993PMID:29914874
SPNCRNA.5991PMID:29914874
SPNCRNA.5981PMID:29914874
SPNCRNA.5990PMID:29914874
SPNCRNA.5989PMID:29914874
SPNCRNA.5988PMID:29914874
SPNCRNA.5987PMID:29914874
SPNCRNA.5986PMID:29914874
SPNCRNA.5985PMID:29914874
SPNCRNA.5984PMID:29914874
SPNCRNA.5983PMID:29914874
SPNCRNA.5982PMID:29914874
SPNCRNA.5957PMID:29914874
SPNCRNA.5955PMID:29914874
SPNCRNA.5909PMID:29914874
SPNCRNA.5920PMID:29914874
SPNCRNA.5929PMID:29914874
SPNCRNA.5928PMID:29914874
SPNCRNA.5927PMID:29914874
SPNCRNA.5926PMID:29914874
SPNCRNA.5925PMID:29914874
SPNCRNA.5924PMID:29914874
SPNCRNA.5923PMID:29914874
SPNCRNA.5922PMID:29914874
SPNCRNA.5921PMID:29914874
SPNCRNA.5919PMID:29914874
SPNCRNA.5931PMID:29914874
SPNCRNA.5918PMID:29914874
SPNCRNA.5917PMID:29914874
SPNCRNA.5916PMID:29914874
SPNCRNA.5915PMID:29914874
SPNCRNA.5914PMID:29914874
SPNCRNA.5913PMID:29914874
SPNCRNA.5912PMID:29914874
SPNCRNA.5911PMID:29914874
SPNCRNA.5910PMID:29914874
SPNCRNA.5930PMID:29914874
SPNCRNA.5932PMID:29914874
SPNCRNA.5954PMID:29914874
SPNCRNA.5944PMID:29914874
SPNCRNA.5953PMID:29914874
SPNCRNA.5952PMID:29914874
SPNCRNA.5951PMID:29914874
SPNCRNA.5950PMID:29914874
SPNCRNA.5949PMID:29914874
SPNCRNA.5948PMID:29914874
SPNCRNA.5947PMID:29914874
SPNCRNA.5946PMID:29914874
SPNCRNA.5945PMID:29914874
SPNCRNA.5943PMID:29914874
SPNCRNA.5933PMID:29914874
SPNCRNA.5942PMID:29914874
SPNCRNA.5941PMID:29914874
SPNCRNA.5940PMID:29914874
SPNCRNA.5939PMID:29914874
SPNCRNA.5938PMID:29914874
SPNCRNA.5937PMID:29914874
SPNCRNA.5936PMID:29914874
SPNCRNA.5935PMID:29914874
SPNCRNA.5934PMID:29914874
SPNCRNA.5817PMID:29914874
SPNCRNA.5816PMID:29914874
SPNCRNA.5815PMID:29914874
SPNCRNA.5694PMID:29914874
SPNCRNA.5702PMID:29914874
SPNCRNA.5701PMID:29914874
SPNCRNA.5700PMID:29914874
SPNCRNA.6789PMID:29914874
SPNCRNA.5699PMID:29914874
SPNCRNA.5698PMID:29914874
SPNCRNA.5697PMID:29914874
SPNCRNA.5696PMID:29914874
SPNCRNA.5695PMID:29914874
SPNCRNA.5693PMID:29914874
SPNCRNA.5704PMID:29914874
SPNCRNA.5692PMID:29914874
SPNCRNA.5691PMID:29914874
SPNCRNA.5690PMID:29914874
SPNCRNA.6790PMID:29914874
SPNCRNA.5689PMID:29914874
SPNCRNA.5688PMID:29914874
SPNCRNA.5687PMID:29914874
SPNCRNA.5686PMID:29914874
SPNCRNA.5685PMID:29914874
SPNCRNA.5703PMID:29914874
SPNCRNA.5705PMID:29914874
SPNCRNA.5683PMID:29914874
SPNCRNA.5716PMID:29914874
SPNCRNA.5724PMID:29914874
SPNCRNA.5723PMID:29914874
SPNCRNA.5722PMID:29914874
SPNCRNA.5721PMID:29914874
SPNCRNA.5720PMID:29914874
SPNCRNA.6787PMID:29914874
SPNCRNA.5719PMID:29914874
SPNCRNA.5718PMID:29914874
SPNCRNA.5717PMID:29914874
SPNCRNA.5715PMID:29914874
SPNCRNA.5706PMID:29914874
SPNCRNA.5714PMID:29914874
SPNCRNA.5713PMID:29914874
SPNCRNA.5712PMID:29914874
SPNCRNA.5711PMID:29914874
SPNCRNA.5710PMID:29914874
SPNCRNA.6788PMID:29914874
SPNCRNA.5709PMID:29914874
SPNCRNA.5708PMID:29914874
SPNCRNA.5707PMID:29914874
SPNCRNA.5684PMID:29914874
SPNCRNA.5682PMID:29914874
SPNCRNA.5726PMID:29914874
SPNCRNA.5650PMID:29914874
SPNCRNA.5659PMID:29914874
SPNCRNA.5658PMID:29914874
SPNCRNA.5657PMID:29914874
SPNCRNA.5656PMID:29914874
SPNCRNA.5655PMID:29914874
SPNCRNA.5654PMID:29914874
SPNCRNA.5653PMID:29914874
SPNCRNA.5652PMID:29914874
SPNCRNA.5651PMID:29914874
SPNCRNA.6794PMID:29914874
SPNCRNA.5660PMID:29914874
SPNCRNA.5649PMID:29914874
SPNCRNA.5648PMID:29914874
SPNCRNA.5647PMID:29914874
SPNCRNA.5646PMID:29914874
SPNCRNA.5645PMID:29914874
SPNCRNA.5644PMID:29914874
SPNCRNA.5643PMID:29914874
SPNCRNA.5642PMID:29914874
SPNCRNA.5641PMID:29914874
SPNCRNA.6793PMID:29914874
SPNCRNA.5661PMID:29914874
SPNCRNA.5681PMID:29914874
SPNCRNA.5672PMID:29914874
SPNCRNA.5680PMID:29914874
SPNCRNA.6791PMID:29914874
SPNCRNA.5679PMID:29914874
SPNCRNA.5678PMID:29914874
SPNCRNA.5677PMID:29914874
SPNCRNA.5676PMID:29914874
SPNCRNA.5675PMID:29914874
SPNCRNA.5674PMID:29914874
SPNCRNA.5673PMID:29914874
SPNCRNA.5671PMID:29914874
SPNCRNA.5662PMID:29914874
SPNCRNA.5670PMID:29914874
SPNCRNA.6792PMID:29914874
SPNCRNA.5669PMID:29914874
SPNCRNA.5668PMID:29914874
SPNCRNA.5667PMID:29914874
SPNCRNA.5666PMID:29914874
SPNCRNA.5665PMID:29914874
SPNCRNA.5664PMID:29914874
SPNCRNA.5663PMID:29914874
SPNCRNA.5725PMID:29914874
SPNCRNA.5727PMID:29914874
SPNCRNA.5814PMID:29914874
SPNCRNA.5783PMID:29914874
SPNCRNA.5791PMID:29914874
SPNCRNA.5790PMID:29914874
SPNCRNA.6782PMID:29914874
SPNCRNA.5789PMID:29914874
SPNCRNA.5788PMID:29914874
SPNCRNA.5787PMID:29914874
SPNCRNA.5786PMID:29914874
SPNCRNA.5785PMID:29914874
SPNCRNA.5784PMID:29914874
SPNCRNA.5782PMID:29914874
SPNCRNA.5793PMID:29914874
SPNCRNA.5781PMID:29914874
SPNCRNA.5780PMID:29914874
SPNCRNA.5779PMID:29914874
SPNCRNA.5778PMID:29914874
SPNCRNA.5777PMID:29914874
SPNCRNA.5776PMID:29914874
SPNCRNA.5775PMID:29914874
SPNCRNA.5774PMID:29914874
SPNCRNA.5773PMID:29914874
SPNCRNA.5792PMID:29914874
SPNCRNA.5794PMID:29914874
SPNCRNA.5771PMID:29914874
SPNCRNA.5804PMID:29914874
SPNCRNA.5813PMID:29914874
SPNCRNA.5812PMID:29914874
SPNCRNA.5811PMID:29914874
SPNCRNA.5810PMID:29914874
SPNCRNA.5809PMID:29914874
SPNCRNA.5808PMID:29914874
SPNCRNA.5807PMID:29914874
SPNCRNA.5806PMID:29914874
SPNCRNA.5805PMID:29914874
SPNCRNA.5803PMID:29914874
SPNCRNA.5795PMID:29914874
SPNCRNA.5802PMID:29914874
SPNCRNA.5801PMID:29914874
SPNCRNA.5800PMID:29914874
SPNCRNA.6780PMID:29914874
SPNCRNA.6781PMID:29914874
SPNCRNA.5799PMID:29914874
SPNCRNA.5798PMID:29914874
SPNCRNA.5797PMID:29914874
SPNCRNA.5796PMID:29914874
SPNCRNA.5772PMID:29914874
SPNCRNA.5770PMID:29914874
SPNCRNA.5728PMID:29914874
SPNCRNA.5738PMID:29914874
SPNCRNA.5747PMID:29914874
SPNCRNA.5746PMID:29914874
SPNCRNA.5745PMID:29914874
SPNCRNA.5744PMID:29914874
SPNCRNA.5743PMID:29914874
SPNCRNA.5742PMID:29914874
SPNCRNA.5741PMID:29914874
SPNCRNA.5740PMID:29914874
SPNCRNA.5739PMID:29914874
SPNCRNA.5737PMID:29914874
SPNCRNA.5749PMID:29914874
SPNCRNA.5736PMID:29914874
SPNCRNA.5735PMID:29914874
SPNCRNA.5734PMID:29914874
SPNCRNA.5733PMID:29914874
SPNCRNA.5732PMID:29914874
SPNCRNA.5731PMID:29914874
SPNCRNA.5730PMID:29914874
SPNCRNA.6786PMID:29914874
SPNCRNA.5729PMID:29914874
SPNCRNA.5748prl102PMID:28031482
SPNCRNA.6785PMID:29914874
SPNCRNA.6783PMID:29914874
SPNCRNA.5760PMID:29914874
SPNCRNA.5769PMID:29914874
SPNCRNA.5768PMID:29914874
SPNCRNA.5767PMID:29914874
SPNCRNA.5766PMID:29914874
SPNCRNA.5765PMID:29914874
SPNCRNA.5764PMID:29914874
SPNCRNA.5763PMID:29914874
SPNCRNA.5762PMID:29914874
SPNCRNA.5761PMID:29914874
SPNCRNA.6784PMID:29914874
SPNCRNA.5750PMID:29914874
SPNCRNA.5759PMID:29914874
SPNCRNA.5758PMID:29914874
SPNCRNA.5757PMID:29914874
SPNCRNA.5756PMID:29914874
SPNCRNA.5755PMID:29914874
SPNCRNA.5754PMID:29914874
SPNCRNA.5753PMID:29914874
SPNCRNA.5752PMID:29914874
SPNCRNA.5751PMID:29914874
SPNCRNA.3820PMID:29914874
SPNCRNA.3827PMID:29914874
SPNCRNA.2381PMID:29914874
SPNCRNA.2145PMID:29914874
SPNCRNA.2152PMID:29914874
SPNCRNA.2151PMID:29914874
SPNCRNA.2150PMID:29914874
SPNCRNA.7021PMID:29914874
SPNCRNA.2149PMID:29914874
SPNCRNA.2148PMID:29914874
SPNCRNA.2147PMID:29914874
SPNCRNA.2146PMID:29914874
SPNCRNA.2144PMID:29914874
SPNCRNA.2096PMID:29914874
SPNCRNA.2143PMID:29914874
SPNCRNA.2142PMID:29914874
SPNCRNA.2141PMID:29914874
SPNCRNA.2140PMID:29914874
SPNCRNA.7022PMID:29914874
SPNCRNA.2139PMID:29914874
SPNCRNA.2138PMID:29914874
SPNCRNA.2137PMID:29914874
SPNCRNA.2153PMID:29914874
SPNCRNA.2154PMID:29914874
SPNCRNA.2155PMID:29914874
SPNCRNA.2156PMID:29914874
SPNCRNA.2172PMID:29914874
SPNCRNA.2171PMID:29914874
SPNCRNA.2170PMID:29914874
SPNCRNA.2169PMID:29914874
SPNCRNA.2168PMID:29914874
SPNCRNA.2167PMID:29914874
SPNCRNA.2166PMID:29914874
SPNCRNA.2165PMID:29914874
SPNCRNA.2164PMID:29914874
SPNCRNA.2163PMID:29914874
SPNCRNA.2162PMID:29914874
SPNCRNA.2161PMID:29914874
SPNCRNA.2160PMID:29914874
SPNCRNA.7020PMID:29914874
SPNCRNA.2159PMID:29914874
SPNCRNA.2158PMID:29914874
SPNCRNA.2157PMID:29914874
SPNCRNA.2136PMID:29914874
SPNCRNA.2135PMID:29914874
SPNCRNA.2134PMID:29914874
SPNCRNA.2115PMID:29914874
SPNCRNA.2113PMID:29914874
SPNCRNA.2112PMID:29914874
SPNCRNA.2111PMID:29914874
SPNCRNA.2110PMID:29914874
SPNCRNA.2109PMID:29914874
SPNCRNA.2108PMID:29914874
SPNCRNA.2107PMID:29914874
SPNCRNA.2106PMID:29914874
SPNCRNA.2105PMID:29914874
SPNCRNA.2104PMID:29914874
SPNCRNA.2103PMID:29914874
SPNCRNA.2102PMID:29914874
SPNCRNA.2101PMID:29914874
SPNCRNA.2100PMID:29914874
SPNCRNA.7025PMID:29914874
SPNCRNA.2099PMID:29914874
SPNCRNA.2098PMID:29914874
SPNCRNA.2114PMID:29914874
SPNCRNA.2116PMID:29914874
SPNCRNA.2133PMID:29914874
SPNCRNA.2117PMID:29914874
SPNCRNA.2132PMID:29914874
SPNCRNA.2131PMID:29914874
SPNCRNA.2130PMID:29914874
SPNCRNA.7023PMID:29914874
SPNCRNA.2129PMID:29914874
SPNCRNA.2128PMID:29914874
SPNCRNA.2127PMID:29914874
SPNCRNA.2126PMID:29914874
SPNCRNA.2125PMID:29914874
SPNCRNA.2124PMID:29914874
SPNCRNA.2123PMID:29914874
SPNCRNA.2122PMID:29914874
SPNCRNA.2121PMID:29914874
SPNCRNA.2120PMID:29914874
SPNCRNA.7024PMID:29914874
SPNCRNA.2119PMID:29914874
SPNCRNA.2118PMID:29914874
SPNCRNA.2173PMID:29914874
SPNCRNA.2174PMID:29914874
SPNCRNA.2175PMID:29914874
SPNCRNA.2232PMID:29914874
SPNCRNA.2230PMID:29914874
SPNCRNA.2229PMID:29914874
SPNCRNA.2228PMID:29914874
SPNCRNA.2227PMID:29914874
SPNCRNA.2226PMID:29914874
SPNCRNA.2225PMID:29914874
SPNCRNA.2224PMID:29914874
SPNCRNA.2223PMID:29914874
SPNCRNA.2222PMID:29914874
SPNCRNA.2221PMID:29914874
SPNCRNA.2220PMID:29914874
SPNCRNA.7015PMID:29914874
SPNCRNA.2219PMID:29914874
SPNCRNA.2218PMID:29914874
SPNCRNA.2217PMID:29914874
SPNCRNA.2216PMID:29914874
SPNCRNA.2215PMID:29914874
SPNCRNA.2231PMID:29914874
SPNCRNA.2233PMID:29914874
SPNCRNA.2213PMID:29914874
SPNCRNA.2234PMID:29914874
SPNCRNA.2251PMID:29914874
SPNCRNA.2250PMID:29914874
SPNCRNA.2249PMID:29914874
SPNCRNA.2248PMID:29914874
SPNCRNA.2247PMID:29914874
SPNCRNA.2246PMID:29914874
SPNCRNA.2245PMID:29914874
SPNCRNA.2244PMID:29914874
SPNCRNA.2243PMID:29914874
SPNCRNA.2242PMID:29914874
SPNCRNA.2241PMID:29914874
SPNCRNA.2240PMID:29914874
SPNCRNA.2239PMID:29914874
SPNCRNA.2238PMID:29914874
SPNCRNA.2237PMID:29914874
SPNCRNA.2236PMID:29914874
SPNCRNA.2235PMID:29914874
SPNCRNA.2214PMID:29914874
SPNCRNA.2212PMID:29914874
SPNCRNA.2176PMID:29914874
SPNCRNA.2193PMID:29914874
SPNCRNA.2191PMID:29914874
SPNCRNA.2190PMID:29914874
SPNCRNA.7018PMID:29914874
SPNCRNA.2189PMID:29914874
SPNCRNA.2188PMID:29914874
SPNCRNA.2187PMID:29914874
SPNCRNA.2186PMID:29914874
SPNCRNA.2185PMID:29914874
SPNCRNA.2184PMID:29914874
SPNCRNA.2183PMID:29914874
SPNCRNA.2182PMID:29914874
SPNCRNA.2181PMID:29914874
SPNCRNA.2180PMID:29914874
SPNCRNA.7019PMID:29914874
SPNCRNA.2179PMID:29914874
SPNCRNA.2178PMID:29914874
SPNCRNA.2177PMID:29914874
SPNCRNA.2192PMID:29914874
SPNCRNA.2194PMID:29914874
SPNCRNA.2211PMID:29914874
SPNCRNA.2195PMID:29914874
SPNCRNA.2210PMID:29914874
SPNCRNA.2209PMID:29914874
SPNCRNA.2208PMID:29914874
SPNCRNA.2207PMID:29914874
SPNCRNA.2206PMID:29914874
SPNCRNA.2205PMID:29914874
SPNCRNA.2204PMID:29914874
SPNCRNA.2203PMID:29914874
SPNCRNA.2202PMID:29914874
SPNCRNA.2201PMID:29914874
SPNCRNA.2200PMID:29914874
SPNCRNA.7016PMID:29914874
SPNCRNA.7017PMID:29914874
SPNCRNA.2199PMID:29914874
SPNCRNA.2198PMID:29914874
SPNCRNA.2197PMID:29914874
SPNCRNA.2196PMID:29914874
SPNCRNA.2097PMID:29914874
SPNCRNA.2095PMID:29914874
SPNCRNA.2569PMID:29914874
SPNCRNA.7048PMID:29914874
SPNCRNA.7040PMID:29914874
SPNCRNA.7041PMID:29914874
SPNCRNA.7042PMID:29914874
SPNCRNA.7043PMID:29914874
SPNCRNA.7044PMID:29914874
SPNCRNA.7045PMID:29914874
SPNCRNA.7046PMID:29914874
SPNCRNA.7047PMID:29914874
SPNCRNA.7049PMID:29914874
SPNCRNA.2094PMID:29914874
SPNCRNA.7050PMID:29914874
SPNCRNA.7051PMID:29914874
SPNCRNA.7052PMID:29914874
SPNCRNA.7053PMID:29914874
SPNCRNA.7054PMID:29914874
SPNCRNA.7055PMID:29914874
SPNCRNA.7056PMID:29914874
SPNCRNA.7057PMID:29914874
SPNCRNA.7039PMID:29914874
SPNCRNA.7038PMID:29914874
SPNCRNA.7037PMID:29914874
SPNCRNA.7036PMID:29914874
SPNCRNA.2012PMID:29914874
SPNCRNA.2011PMID:29914874
SPNCRNA.7029PMID:29914874
SPNCRNA.2009PMID:29914874
SPNCRNA.2008PMID:29914874
SPNCRNA.2007PMID:29914874
SPNCRNA.2006PMID:29914874
SPNCRNA.2005PMID:29914874
SPNCRNA.2004PMID:29914874
SPNCRNA.2003PMID:29914874
SPNCRNA.2000PMID:29914874
SPNCRNA.7030PMID:29914874
SPNCRNA.7031PMID:29914874
SPNCRNA.7032PMID:29914874
SPNCRNA.7033PMID:29914874
SPNCRNA.7034PMID:29914874
SPNCRNA.7035PMID:29914874
SPNCRNA.7058PMID:29914874
SPNCRNA.7059PMID:29914874
SPNCRNA.7060PMID:29914874
SPNCRNA.7081PMID:29914874
SPNCRNA.7083PMID:29914874
SPNCRNA.7084PMID:29914874
SPNCRNA.7085PMID:29914874
SPNCRNA.7086PMID:29914874
SPNCRNA.7087PMID:29914874
SPNCRNA.7088PMID:29914874
SPNCRNA.7089PMID:29914874
SPNCRNA.7090PMID:29914874
SPNCRNA.7091PMID:29914874
SPNCRNA.7092PMID:29914874
SPNCRNA.7093PMID:29914874
SPNCRNA.7094PMID:29914874
SPNCRNA.7095PMID:29914874
SPNCRNA.7096PMID:29914874
SPNCRNA.7097PMID:29914874
SPNCRNA.7098PMID:29914874
SPNCRNA.7099PMID:29914874
SPNCRNA.7082PMID:29914874
SPNCRNA.7080PMID:29914874
SPNCRNA.7061PMID:29914874
SPNCRNA.7079PMID:29914874
SPNCRNA.7062PMID:29914874
SPNCRNA.7063PMID:29914874
SPNCRNA.7064PMID:29914874
SPNCRNA.7065PMID:29914874
SPNCRNA.7066PMID:29914874
SPNCRNA.7067PMID:29914874
SPNCRNA.7068PMID:29914874
SPNCRNA.7069PMID:29914874
SPNCRNA.7070PMID:29914874
SPNCRNA.7071PMID:29914874
SPNCRNA.7072PMID:29914874
SPNCRNA.7073PMID:29914874
SPNCRNA.7074PMID:29914874
SPNCRNA.7075PMID:29914874
SPNCRNA.7076PMID:29914874
SPNCRNA.7077PMID:29914874
SPNCRNA.7078PMID:29914874
SPNCRNA.2013PMID:29914874
SPNCRNA.2014PMID:29914874
SPNCRNA.2015PMID:29914874
SPNCRNA.2075PMID:29914874
SPNCRNA.2073PMID:29914874
SPNCRNA.2072PMID:29914874
SPNCRNA.2071PMID:29914874
SPNCRNA.2070PMID:29914874
SPNCRNA.2069PMID:29914874
SPNCRNA.2068PMID:29914874
SPNCRNA.2067PMID:29914874
SPNCRNA.2066PMID:29914874
SPNCRNA.2065PMID:29914874
SPNCRNA.2064PMID:29914874
SPNCRNA.2063PMID:29914874
SPNCRNA.2062PMID:29914874
SPNCRNA.2061PMID:29914874
SPNCRNA.2060PMID:29914874
SPNCRNA.2059PMID:29914874
SPNCRNA.2058PMID:29914874
SPNCRNA.2057PMID:29914874
SPNCRNA.2074PMID:29914874
SPNCRNA.2076PMID:29914874
SPNCRNA.2055PMID:29914874
SPNCRNA.2077PMID:29914874
SPNCRNA.2093PMID:29914874
SPNCRNA.2092PMID:29914874
SPNCRNA.2091PMID:29914874
SPNCRNA.2090PMID:29914874
SPNCRNA.7026PMID:29914874
SPNCRNA.2089PMID:29914874
SPNCRNA.2088PMID:29914874
SPNCRNA.2087PMID:29914874
SPNCRNA.2086PMID:29914874
SPNCRNA.2085PMID:29914874
SPNCRNA.2084PMID:29914874
SPNCRNA.2083PMID:29914874
SPNCRNA.2082PMID:29914874
SPNCRNA.2081PMID:29914874
SPNCRNA.2080PMID:29914874
SPNCRNA.2079PMID:29914874
SPNCRNA.2078PMID:29914874
SPNCRNA.2056PMID:29914874
SPNCRNA.2054PMID:29914874
SPNCRNA.2016PMID:29914874
SPNCRNA.2034PMID:29914874
SPNCRNA.2032PMID:29914874
SPNCRNA.2031PMID:29914874
SPNCRNA.2030PMID:29914874
SPNCRNA.2029PMID:29914874
SPNCRNA.2028PMID:29914874
SPNCRNA.2027PMID:29914874
SPNCRNA.2026PMID:29914874
SPNCRNA.2025PMID:29914874
SPNCRNA.2024PMID:29914874
SPNCRNA.2023PMID:29914874
SPNCRNA.2022PMID:29914874
SPNCRNA.2021PMID:29914874
SPNCRNA.2020PMID:29914874
SPNCRNA.7028PMID:29914874
SPNCRNA.2019PMID:29914874
SPNCRNA.2018PMID:29914874
SPNCRNA.2017PMID:29914874
SPNCRNA.2033PMID:29914874
SPNCRNA.2035PMID:29914874
SPNCRNA.2053PMID:29914874
SPNCRNA.2036PMID:29914874
SPNCRNA.2052PMID:29914874
SPNCRNA.2051PMID:29914874
SPNCRNA.2050PMID:29914874
SPNCRNA.2049PMID:29914874
SPNCRNA.2048PMID:29914874
SPNCRNA.2047PMID:29914874
SPNCRNA.2046PMID:29914874
SPNCRNA.2045PMID:29914874
SPNCRNA.2044PMID:29914874
SPNCRNA.2043PMID:29914874
SPNCRNA.2042PMID:29914874
SPNCRNA.2041PMID:29914874
SPNCRNA.2040PMID:29914874
SPNCRNA.7027PMID:29914874
SPNCRNA.2039PMID:29914874
SPNCRNA.2038PMID:29914874
SPNCRNA.2037PMID:29914874
SPNCRNA.2252PMID:29914874
SPNCRNA.2253PMID:29914874
SPNCRNA.2254PMID:29914874
SPNCRNA.2460PMID:29914874
SPNCRNA.2468PMID:29914874
SPNCRNA.2467PMID:29914874
SPNCRNA.2466PMID:29914874
SPNCRNA.2465PMID:29914874
SPNCRNA.2464PMID:29914874
SPNCRNA.2463PMID:29914874
SPNCRNA.2462PMID:29914874
SPNCRNA.2461PMID:29914874
SPNCRNA.2459PMID:29914874
SPNCRNA.2255PMID:29914874
SPNCRNA.2458PMID:29914874
SPNCRNA.2457PMID:29914874
SPNCRNA.2456PMID:29914874
SPNCRNA.2455PMID:29914874
SPNCRNA.2454PMID:29914874
SPNCRNA.2453PMID:29914874
SPNCRNA.2452PMID:29914874
SPNCRNA.2451PMID:29914874
SPNCRNA.2469PMID:29914874
SPNCRNA.2470PMID:29914874
SPNCRNA.2471PMID:29914874
SPNCRNA.2472PMID:29914874
SPNCRNA.2489PMID:29914874
SPNCRNA.2488PMID:29914874
SPNCRNA.2487PMID:29914874
SPNCRNA.2486PMID:29914874
SPNCRNA.2485PMID:29914874
SPNCRNA.2484PMID:29914874
SPNCRNA.2483PMID:29914874
SPNCRNA.2482PMID:29914874
SPNCRNA.2481PMID:29914874
SPNCRNA.2480PMID:29914874
SPNCRNA.2479PMID:29914874
SPNCRNA.2478PMID:29914874
SPNCRNA.2477PMID:29914874
SPNCRNA.2476PMID:29914874
SPNCRNA.2475PMID:29914874
SPNCRNA.2474PMID:29914874
SPNCRNA.2473PMID:29914874
SPNCRNA.2450PMID:29914874
SPNCRNA.2449PMID:29914874
SPNCRNA.2448PMID:29914874
SPNCRNA.2429PMID:29914874
SPNCRNA.2427PMID:29914874
SPNCRNA.2426PMID:29914874
SPNCRNA.2425PMID:29914874
SPNCRNA.2424PMID:29914874
SPNCRNA.2423PMID:29914874
SPNCRNA.2422PMID:29914874
SPNCRNA.2421PMID:29914874
SPNCRNA.2420PMID:29914874
SPNCRNA.7002PMID:29914874
SPNCRNA.2419PMID:29914874
SPNCRNA.2418PMID:29914874
SPNCRNA.2417PMID:29914874
SPNCRNA.2416PMID:29914874
SPNCRNA.2415PMID:29914874
SPNCRNA.2414PMID:29914874
SPNCRNA.2413PMID:29914874
SPNCRNA.2412PMID:29914874
SPNCRNA.2428PMID:29914874
SPNCRNA.7001PMID:29914874
SPNCRNA.2447PMID:29914874
SPNCRNA.2430PMID:29914874
SPNCRNA.2446PMID:29914874
SPNCRNA.2445PMID:29914874
SPNCRNA.2444PMID:29914874
SPNCRNA.2443PMID:29914874
SPNCRNA.2442PMID:29914874
SPNCRNA.2441PMID:29914874
SPNCRNA.2440PMID:29914874
SPNCRNA.7000PMID:29914874
SPNCRNA.2439PMID:29914874
SPNCRNA.2438PMID:29914874
SPNCRNA.2437PMID:29914874
SPNCRNA.2436PMID:29914874
SPNCRNA.2435PMID:29914874
SPNCRNA.2434PMID:29914874
SPNCRNA.2433PMID:29914874
SPNCRNA.2432PMID:29914874
SPNCRNA.2431PMID:29914874
SPNCRNA.6999PMID:29914874
SPNCRNA.2490PMID:29914874
SPNCRNA.2491PMID:29914874
SPNCRNA.6995PMID:29914874
SPNCRNA.2548PMID:29914874
SPNCRNA.2547PMID:29914874
SPNCRNA.2546PMID:29914874
SPNCRNA.2545PMID:29914874
SPNCRNA.2544PMID:29914874
SPNCRNA.2543PMID:29914874
SPNCRNA.2542PMID:29914874
SPNCRNA.2541PMID:29914874
SPNCRNA.2540PMID:29914874
SPNCRNA.2539PMID:29914874
SPNCRNA.2538PMID:29914874
SPNCRNA.2537PMID:29914874
SPNCRNA.2536PMID:29914874
SPNCRNA.2535PMID:29914874
SPNCRNA.2534PMID:29914874
SPNCRNA.2533PMID:29914874
SPNCRNA.2532PMID:29914874
SPNCRNA.2549PMID:29914874
SPNCRNA.2550PMID:29914874
SPNCRNA.2530PMID:29914874
SPNCRNA.2551PMID:29914874
SPNCRNA.2567PMID:29914874
SPNCRNA.2566PMID:29914874
SPNCRNA.2565PMID:29914874
SPNCRNA.2564PMID:29914874
SPNCRNA.2563PMID:29914874
SPNCRNA.2562PMID:29914874
SPNCRNA.2561PMID:29914874
SPNCRNA.2560PMID:29914874
SPNCRNA.6994PMID:29914874
SPNCRNA.2559PMID:29914874
SPNCRNA.2558PMID:29914874
SPNCRNA.2557PMID:29914874
SPNCRNA.2556PMID:29914874
SPNCRNA.2555PMID:29914874
SPNCRNA.2554PMID:29914874
SPNCRNA.2553PMID:29914874
SPNCRNA.2552PMID:29914874
SPNCRNA.2531PMID:29914874
SPNCRNA.6996PMID:29914874
SPNCRNA.2492PMID:29914874
SPNCRNA.2510PMID:29914874
SPNCRNA.2508PMID:29914874
SPNCRNA.2507PMID:29914874
SPNCRNA.2506PMID:29914874
SPNCRNA.2505PMID:29914874
SPNCRNA.2504PMID:29914874
SPNCRNA.2503PMID:29914874
SPNCRNA.2502PMID:29914874
SPNCRNA.2501PMID:29914874
SPNCRNA.2500PMID:29914874
SPNCRNA.6998PMID:29914874
SPNCRNA.2499PMID:29914874
SPNCRNA.2498PMID:29914874
SPNCRNA.2497PMID:29914874
SPNCRNA.2496PMID:29914874
SPNCRNA.2495PMID:29914874
SPNCRNA.2494PMID:29914874
SPNCRNA.2493PMID:29914874
SPNCRNA.2509PMID:29914874
SPNCRNA.2511PMID:29914874
SPNCRNA.2529PMID:29914874
SPNCRNA.2512PMID:29914874
SPNCRNA.2528PMID:29914874
SPNCRNA.2527PMID:29914874
SPNCRNA.2526PMID:29914874
SPNCRNA.2525PMID:29914874
SPNCRNA.2524PMID:29914874
SPNCRNA.2523PMID:29914874
SPNCRNA.2522PMID:29914874
SPNCRNA.2521PMID:29914874
SPNCRNA.2520PMID:29914874
SPNCRNA.6997PMID:29914874
SPNCRNA.2519PMID:29914874
SPNCRNA.2518PMID:29914874
SPNCRNA.2517PMID:29914874
SPNCRNA.2516PMID:29914874
SPNCRNA.2515PMID:29914874
SPNCRNA.2514PMID:29914874
SPNCRNA.2513PMID:29914874
SPNCRNA.2411PMID:29914874
SPNCRNA.2410PMID:29914874
SPNCRNA.2409PMID:29914874
SPNCRNA.2311PMID:29914874
SPNCRNA.2309PMID:29914874
SPNCRNA.2308PMID:29914874
SPNCRNA.2307PMID:29914874
SPNCRNA.2306PMID:29914874
SPNCRNA.2305PMID:29914874
SPNCRNA.2304PMID:29914874
SPNCRNA.2303PMID:29914874
SPNCRNA.2302PMID:29914874
SPNCRNA.2301PMID:29914874
SPNCRNA.2300PMID:29914874
SPNCRNA.7010PMID:29914874
SPNCRNA.7011PMID:29914874
SPNCRNA.2299PMID:29914874
SPNCRNA.2298PMID:29914874
SPNCRNA.2297PMID:29914874
SPNCRNA.2296PMID:29914874
SPNCRNA.2295PMID:29914874
SPNCRNA.2310PMID:29914874
SPNCRNA.2312PMID:29914874
SPNCRNA.2293PMID:29914874
SPNCRNA.2313PMID:29914874
SPNCRNA.2329PMID:29914874
SPNCRNA.2328PMID:29914874
SPNCRNA.2327PMID:29914874
SPNCRNA.2326PMID:29914874
SPNCRNA.2325PMID:29914874
SPNCRNA.2324PMID:29914874
SPNCRNA.2323PMID:29914874
SPNCRNA.2322PMID:29914874
SPNCRNA.2321PMID:29914874
SPNCRNA.2320PMID:29914874
SPNCRNA.7009PMID:29914874
SPNCRNA.2319PMID:29914874
SPNCRNA.2318PMID:29914874
SPNCRNA.2317PMID:29914874
SPNCRNA.2316PMID:29914874
SPNCRNA.2315PMID:29914874
SPNCRNA.2314PMID:29914874
SPNCRNA.2294PMID:29914874
SPNCRNA.2292PMID:29914874
SPNCRNA.2330PMID:29914874
SPNCRNA.2273PMID:29914874
SPNCRNA.2271PMID:29914874
SPNCRNA.2270PMID:29914874
SPNCRNA.2269PMID:29914874
SPNCRNA.2268PMID:29914874
SPNCRNA.2267PMID:29914874
SPNCRNA.2266PMID:29914874
SPNCRNA.2265PMID:29914874
SPNCRNA.2264PMID:29914874
SPNCRNA.2263PMID:29914874
SPNCRNA.2262PMID:29914874
SPNCRNA.2261PMID:29914874
SPNCRNA.2260PMID:29914874
SPNCRNA.7014PMID:29914874
SPNCRNA.2259PMID:29914874
SPNCRNA.2258PMID:29914874
SPNCRNA.2257PMID:29914874
SPNCRNA.2256PMID:29914874
SPNCRNA.2272PMID:29914874
SPNCRNA.2274PMID:29914874
SPNCRNA.2291PMID:29914874
SPNCRNA.2275PMID:29914874
SPNCRNA.2290PMID:29914874
SPNCRNA.7012PMID:29914874
SPNCRNA.2289PMID:29914874
SPNCRNA.2288PMID:29914874
SPNCRNA.2287PMID:29914874
SPNCRNA.2286PMID:29914874
SPNCRNA.2285PMID:29914874
SPNCRNA.2284PMID:29914874
SPNCRNA.2283PMID:29914874
SPNCRNA.2282PMID:29914874
SPNCRNA.2281PMID:29914874
SPNCRNA.2280PMID:29914874
SPNCRNA.7013PMID:29914874
SPNCRNA.2279PMID:29914874
SPNCRNA.2278PMID:29914874
SPNCRNA.2277PMID:29914874
SPNCRNA.2276PMID:29914874
SPNCRNA.7008PMID:29914874
SPNCRNA.2331PMID:29914874
SPNCRNA.2408PMID:29914874
SPNCRNA.2390PMID:29914874
SPNCRNA.2389PMID:29914874
SPNCRNA.2388PMID:29914874
SPNCRNA.2387PMID:29914874
SPNCRNA.2386PMID:29914874
SPNCRNA.2385PMID:29914874
SPNCRNA.2384PMID:29914874
SPNCRNA.2383PMID:29914874
SPNCRNA.2382PMID:29914874
SPNCRNA.3818PMID:29914874
SPNCRNA.2380PMID:29914874
SPNCRNA.2379PMID:29914874
SPNCRNA.2378PMID:29914874
SPNCRNA.2377PMID:29914874
SPNCRNA.2376PMID:29914874
SPNCRNA.2375PMID:29914874
SPNCRNA.2374PMID:29914874
SPNCRNA.2373PMID:29914874
SPNCRNA.7005PMID:29914874
SPNCRNA.2391PMID:29914874
SPNCRNA.2371PMID:29914874
SPNCRNA.2392PMID:29914874
SPNCRNA.2407PMID:29914874
SPNCRNA.2406PMID:29914874
SPNCRNA.2405PMID:29914874
SPNCRNA.2404PMID:29914874
SPNCRNA.2403PMID:29914874
SPNCRNA.2402PMID:29914874
SPNCRNA.2401PMID:29914874
SPNCRNA.2400PMID:29914874
SPNCRNA.7003PMID:29914874
SPNCRNA.7004PMID:29914874
SPNCRNA.2399PMID:29914874
SPNCRNA.2398PMID:29914874
SPNCRNA.2397PMID:29914874
SPNCRNA.2396PMID:29914874
SPNCRNA.2395PMID:29914874
SPNCRNA.2394PMID:29914874
SPNCRNA.2393PMID:29914874
SPNCRNA.2372PMID:29914874
SPNCRNA.2370PMID:29914874
SPNCRNA.2332PMID:29914874
SPNCRNA.2350PMID:29914874
SPNCRNA.2348PMID:29914874
SPNCRNA.2347PMID:29914874
SPNCRNA.2346PMID:29914874
SPNCRNA.2345PMID:29914874
SPNCRNA.2344PMID:29914874
SPNCRNA.2343PMID:29914874
SPNCRNA.2342PMID:29914874
SPNCRNA.2341PMID:29914874
SPNCRNA.2340PMID:29914874
SPNCRNA.7007PMID:29914874
SPNCRNA.2339PMID:29914874
SPNCRNA.2338PMID:29914874
SPNCRNA.2337PMID:29914874
SPNCRNA.2336PMID:29914874
SPNCRNA.2335PMID:29914874
SPNCRNA.2334PMID:29914874
SPNCRNA.2333PMID:29914874
SPNCRNA.2349PMID:29914874
SPNCRNA.2351PMID:29914874
SPNCRNA.7006PMID:29914874
SPNCRNA.2352PMID:29914874
SPNCRNA.2369PMID:29914874
SPNCRNA.2368PMID:29914874
SPNCRNA.2367PMID:29914874
SPNCRNA.2366PMID:29914874
SPNCRNA.2365PMID:29914874
SPNCRNA.2364PMID:29914874
SPNCRNA.2363PMID:29914874
SPNCRNA.2362PMID:29914874
SPNCRNA.2361PMID:29914874
SPNCRNA.2360PMID:29914874
SPNCRNA.2359PMID:29914874
SPNCRNA.2358PMID:29914874
SPNCRNA.2357PMID:29914874
SPNCRNA.2356PMID:29914874
SPNCRNA.2355PMID:29914874
SPNCRNA.2354PMID:29914874
SPNCRNA.2353PMID:29914874
SPNCRNA.7100PMID:29914874
SPNCRNA.7101PMID:29914874
SPNCRNA.7102PMID:29914874
SPNCRNA.7555PMID:29914874
SPNCRNA.7547PMID:29914874
SPNCRNA.7548PMID:29914874
SPNCRNA.7549PMID:29914874
SPNCRNA.7550PMID:29914874
SPNCRNA.7551PMID:29914874
SPNCRNA.7552PMID:29914874
SPNCRNA.7553PMID:29914874
SPNCRNA.7554PMID:29914874
SPNCRNA.7556PMID:29914874
SPNCRNA.7440PMID:29914874
SPNCRNA.7557PMID:29914874
SPNCRNA.7558PMID:29914874
SPNCRNA.7559PMID:29914874
SPNCRNA.7560PMID:29914874
SPNCRNA.7561PMID:29914874
SPNCRNA.7562PMID:29914874
SPNCRNA.7563PMID:29914874
SPNCRNA.7564PMID:29914874
SPNCRNA.7546PMID:29914874
SPNCRNA.7545PMID:29914874
SPNCRNA.7544PMID:29914874
SPNCRNA.7543PMID:29914874
SPNCRNA.7526PMID:29914874
SPNCRNA.7527PMID:29914874
SPNCRNA.7528PMID:29914874
SPNCRNA.7529PMID:29914874
SPNCRNA.7530PMID:29914874
SPNCRNA.7531PMID:29914874
SPNCRNA.7532PMID:29914874
SPNCRNA.7533PMID:29914874
SPNCRNA.7534PMID:29914874
SPNCRNA.7535PMID:29914874
SPNCRNA.7536PMID:29914874
SPNCRNA.7537PMID:29914874
SPNCRNA.7538PMID:29914874
SPNCRNA.7539PMID:29914874
SPNCRNA.7540PMID:29914874
SPNCRNA.7541PMID:29914874
SPNCRNA.7542PMID:29914874
SPNCRNA.7565PMID:29914874
SPNCRNA.7566PMID:29914874
SPNCRNA.7567PMID:29914874
SPNCRNA.7588PMID:29914874
SPNCRNA.7590PMID:29914874
SPNCRNA.7591PMID:29914874
SPNCRNA.7592PMID:29914874
SPNCRNA.7593PMID:29914874
SPNCRNA.7594PMID:29914874
SPNCRNA.7595PMID:29914874
SPNCRNA.7596PMID:29914874
SPNCRNA.7597PMID:29914874
SPNCRNA.7598PMID:29914874
SPNCRNA.7599PMID:29914874
SPNCRNA.7600PMID:29914874
SPNCRNA.7601PMID:29914874
SPNCRNA.7602PMID:29914874
SPNCRNA.7603PMID:29914874
SPNCRNA.7604PMID:29914874
SPNCRNA.7605PMID:29914874
SPNCRNA.7606PMID:29914874
SPNCRNA.7589PMID:29914874
SPNCRNA.7587PMID:29914874
SPNCRNA.7568PMID:29914874
SPNCRNA.7586PMID:29914874
SPNCRNA.7569PMID:29914874
SPNCRNA.7570PMID:29914874
SPNCRNA.7571PMID:29914874
SPNCRNA.7572PMID:29914874
SPNCRNA.7573PMID:29914874
SPNCRNA.7574PMID:29914874
SPNCRNA.7575PMID:29914874
SPNCRNA.7576PMID:29914874
SPNCRNA.7577PMID:29914874
SPNCRNA.7578PMID:29914874
SPNCRNA.7579PMID:29914874
SPNCRNA.7580PMID:29914874
SPNCRNA.7581PMID:29914874
SPNCRNA.7582PMID:29914874
SPNCRNA.7583PMID:29914874
SPNCRNA.7584PMID:29914874
SPNCRNA.7585PMID:29914874
SPNCRNA.7525PMID:29914874
SPNCRNA.7524PMID:29914874
SPNCRNA.7523PMID:29914874
SPNCRNA.7461PMID:29914874
SPNCRNA.7463PMID:29914874
SPNCRNA.7464PMID:29914874
SPNCRNA.7465PMID:29914874
SPNCRNA.7466PMID:29914874
SPNCRNA.7467PMID:29914874
SPNCRNA.7468PMID:29914874
SPNCRNA.7469PMID:29914874
SPNCRNA.7470PMID:29914874
SPNCRNA.7471PMID:29914874
SPNCRNA.7472PMID:29914874
SPNCRNA.7473PMID:29914874
SPNCRNA.7474PMID:29914874
SPNCRNA.7475PMID:29914874
SPNCRNA.7476PMID:29914874
SPNCRNA.7477PMID:29914874
SPNCRNA.7478PMID:29914874
SPNCRNA.7479PMID:29914874
SPNCRNA.7462PMID:29914874
SPNCRNA.7460PMID:29914874
SPNCRNA.7481PMID:29914874
SPNCRNA.7459PMID:29914874
SPNCRNA.7442PMID:29914874
SPNCRNA.7443PMID:29914874
SPNCRNA.7444PMID:29914874
SPNCRNA.7445PMID:29914874
SPNCRNA.7446PMID:29914874
SPNCRNA.7447PMID:29914874
SPNCRNA.7448PMID:29914874
SPNCRNA.7449PMID:29914874
SPNCRNA.7450PMID:29914874
SPNCRNA.7451PMID:29914874
SPNCRNA.7452PMID:29914874
SPNCRNA.7453PMID:29914874
SPNCRNA.7454PMID:29914874
SPNCRNA.7455PMID:29914874
SPNCRNA.7456PMID:29914874
SPNCRNA.7457PMID:29914874
SPNCRNA.7458PMID:29914874
SPNCRNA.7480PMID:29914874
SPNCRNA.7482PMID:29914874
SPNCRNA.7522PMID:29914874
SPNCRNA.7503PMID:29914874
SPNCRNA.7505PMID:29914874
SPNCRNA.7506PMID:29914874
SPNCRNA.7507PMID:29914874
SPNCRNA.7508PMID:29914874
SPNCRNA.7509PMID:29914874
SPNCRNA.7510PMID:29914874
SPNCRNA.7511PMID:29914874
SPNCRNA.7512PMID:29914874
SPNCRNA.7513PMID:29914874
SPNCRNA.7514PMID:29914874
SPNCRNA.7515PMID:29914874
SPNCRNA.7516PMID:29914874
SPNCRNA.7517PMID:29914874
SPNCRNA.7518PMID:29914874
SPNCRNA.7519PMID:29914874
SPNCRNA.7520PMID:29914874
SPNCRNA.7521PMID:29914874
SPNCRNA.7504PMID:29914874
SPNCRNA.7502PMID:29914874
SPNCRNA.7483PMID:29914874
SPNCRNA.7501PMID:29914874
SPNCRNA.7484PMID:29914874
SPNCRNA.7485PMID:29914874
SPNCRNA.7486PMID:29914874
SPNCRNA.7487PMID:29914874
SPNCRNA.7488PMID:29914874
SPNCRNA.7489PMID:29914874
SPNCRNA.7490PMID:29914874
SPNCRNA.7491PMID:29914874
SPNCRNA.7492PMID:29914874
SPNCRNA.7493PMID:29914874
SPNCRNA.7494PMID:29914874
SPNCRNA.7495PMID:29914874
SPNCRNA.7496PMID:29914874
SPNCRNA.7497PMID:29914874
SPNCRNA.7498PMID:29914874
SPNCRNA.7499PMID:29914874
SPNCRNA.7500PMID:29914874
SPNCRNA.7607PMID:29914874
SPNCRNA.7608PMID:29914874
SPNCRNA.7609PMID:29914874
SPNCRNA.7714PMID:29914874
SPNCRNA.7716PMID:29914874
SPNCRNA.7717PMID:29914874
SPNCRNA.7718PMID:29914874
SPNCRNA.7719PMID:29914874
SPNCRNA.7720PMID:29914874
SPNCRNA.7721PMID:29914874
SPNCRNA.7722PMID:29914874
SPNCRNA.7723PMID:29914874
SPNCRNA.7724PMID:29914874
SPNCRNA.7725PMID:29914874
SPNCRNA.7726PMID:29914874
SPNCRNA.7727PMID:29914874
SPNCRNA.7728PMID:29914874
SPNCRNA.7729PMID:29914874
SPNCRNA.7730PMID:29914874
SPNCRNA.7731PMID:29914874
SPNCRNA.7732PMID:29914874
SPNCRNA.7715PMID:29914874
SPNCRNA.7713PMID:29914874
SPNCRNA.7734PMID:29914874
SPNCRNA.7712PMID:29914874
SPNCRNA.7695PMID:29914874
SPNCRNA.7696PMID:29914874
SPNCRNA.7697PMID:29914874
SPNCRNA.7698PMID:29914874
SPNCRNA.7699PMID:29914874
SPNCRNA.7700PMID:29914874
SPNCRNA.7701PMID:29914874
SPNCRNA.7702PMID:29914874
SPNCRNA.7703PMID:29914874
SPNCRNA.7704PMID:29914874
SPNCRNA.7705PMID:29914874
SPNCRNA.7706PMID:29914874
SPNCRNA.7707PMID:29914874
SPNCRNA.7708PMID:29914874
SPNCRNA.7709PMID:29914874
SPNCRNA.7710PMID:29914874
SPNCRNA.7711PMID:29914874
SPNCRNA.7733PMID:29914874
SPNCRNA.7735PMID:29914874
SPNCRNA.7693PMID:29914874
SPNCRNA.7756PMID:29914874
SPNCRNA.7758PMID:29914874
SPNCRNA.7759PMID:29914874
SPNCRNA.7760PMID:29914874
SPNCRNA.7761PMID:29914874
SPNCRNA.7762PMID:29914874
SPNCRNA.7763PMID:29914874
SPNCRNA.7764PMID:29914874
SPNCRNA.7765PMID:29914874
SPNCRNA.7766PMID:29914874
SPNCRNA.7767PMID:29914874
SPNCRNA.7768PMID:29914874
SPNCRNA.7769PMID:29914874
SPNCRNA.7770PMID:29914874
SPNCRNA.7771PMID:29914874
SPNCRNA.7772PMID:29914874
SPNCRNA.7773PMID:29914874
SPNCRNA.7774PMID:29914874
SPNCRNA.7757PMID:29914874
SPNCRNA.7755PMID:29914874
SPNCRNA.7736PMID:29914874
SPNCRNA.7754PMID:29914874
SPNCRNA.7737PMID:29914874
SPNCRNA.7738PMID:29914874
SPNCRNA.7739PMID:29914874
SPNCRNA.7740PMID:29914874
SPNCRNA.7741PMID:29914874
SPNCRNA.7742PMID:29914874
SPNCRNA.7743PMID:29914874
SPNCRNA.7744PMID:29914874
SPNCRNA.7745PMID:29914874
SPNCRNA.7746PMID:29914874
SPNCRNA.7747PMID:29914874
SPNCRNA.7748PMID:29914874
SPNCRNA.7749PMID:29914874
SPNCRNA.7750PMID:29914874
SPNCRNA.7751PMID:29914874
SPNCRNA.7752PMID:29914874
SPNCRNA.7753PMID:29914874
SPNCRNA.7694PMID:29914874
SPNCRNA.7692PMID:29914874
SPNCRNA.7610PMID:29914874
SPNCRNA.7630PMID:29914874
SPNCRNA.7632PMID:29914874
SPNCRNA.7633PMID:29914874
SPNCRNA.7634PMID:29914874
SPNCRNA.7635PMID:29914874
SPNCRNA.7636PMID:29914874
SPNCRNA.7637PMID:29914874
SPNCRNA.7638PMID:29914874
SPNCRNA.7639PMID:29914874
SPNCRNA.7640PMID:29914874
SPNCRNA.7641PMID:29914874
SPNCRNA.7642PMID:29914874
SPNCRNA.7643PMID:29914874
SPNCRNA.7644PMID:29914874
SPNCRNA.7645PMID:29914874
SPNCRNA.7646PMID:29914874
SPNCRNA.7647PMID:29914874
SPNCRNA.7648PMID:29914874
SPNCRNA.7631PMID:29914874
SPNCRNA.7629PMID:29914874
SPNCRNA.7650PMID:29914874
SPNCRNA.7628PMID:29914874
SPNCRNA.7611PMID:29914874
SPNCRNA.7612PMID:29914874
SPNCRNA.7613PMID:29914874
SPNCRNA.7614PMID:29914874
SPNCRNA.7615PMID:29914874
SPNCRNA.7616PMID:29914874
SPNCRNA.7617PMID:29914874
SPNCRNA.7618PMID:29914874
SPNCRNA.7619PMID:29914874
SPNCRNA.7620PMID:29914874
SPNCRNA.7621PMID:29914874
SPNCRNA.7622PMID:29914874
SPNCRNA.7623PMID:29914874
SPNCRNA.7624PMID:29914874
SPNCRNA.7625PMID:29914874
SPNCRNA.7626PMID:29914874
SPNCRNA.7627PMID:29914874
SPNCRNA.7649PMID:29914874
SPNCRNA.7651PMID:29914874
SPNCRNA.7691PMID:29914874
SPNCRNA.7672PMID:29914874
SPNCRNA.7674PMID:29914874
SPNCRNA.7675PMID:29914874
SPNCRNA.7676PMID:29914874
SPNCRNA.7677PMID:29914874
SPNCRNA.7678PMID:29914874
SPNCRNA.7679PMID:29914874
SPNCRNA.7680PMID:29914874
SPNCRNA.7681PMID:29914874
SPNCRNA.7682PMID:29914874
SPNCRNA.7683PMID:29914874
SPNCRNA.7684PMID:29914874
SPNCRNA.7685PMID:29914874
SPNCRNA.7686PMID:29914874
SPNCRNA.7687PMID:29914874
SPNCRNA.7688PMID:29914874
SPNCRNA.7689PMID:29914874
SPNCRNA.7690PMID:29914874
SPNCRNA.7673PMID:29914874
SPNCRNA.7671PMID:29914874
SPNCRNA.7652PMID:29914874
SPNCRNA.7670PMID:29914874
SPNCRNA.7653PMID:29914874
SPNCRNA.7654PMID:29914874
SPNCRNA.7655PMID:29914874
SPNCRNA.7656PMID:29914874
SPNCRNA.7657PMID:29914874
SPNCRNA.7658PMID:29914874
SPNCRNA.7659PMID:29914874
SPNCRNA.7660PMID:29914874
SPNCRNA.7661PMID:29914874
SPNCRNA.7662PMID:29914874
SPNCRNA.7663PMID:29914874
SPNCRNA.7664PMID:29914874
SPNCRNA.7665PMID:29914874
SPNCRNA.7666PMID:29914874
SPNCRNA.7667PMID:29914874
SPNCRNA.7668PMID:29914874
SPNCRNA.7669PMID:29914874
SPNCRNA.7441PMID:29914874
SPNCRNA.7439PMID:29914874
SPNCRNA.7103PMID:29914874
SPNCRNA.7218PMID:29914874
SPNCRNA.7210PMID:29914874
SPNCRNA.7211PMID:29914874
SPNCRNA.7212PMID:29914874
SPNCRNA.7213PMID:29914874
SPNCRNA.7214PMID:29914874
SPNCRNA.7215PMID:29914874
SPNCRNA.7216PMID:29914874
SPNCRNA.7217PMID:29914874
SPNCRNA.7219PMID:29914874
SPNCRNA.7438PMID:29914874
SPNCRNA.7220PMID:29914874
SPNCRNA.7221PMID:29914874
SPNCRNA.7222PMID:29914874
SPNCRNA.7223PMID:29914874
SPNCRNA.7224PMID:29914874
SPNCRNA.7225PMID:29914874
SPNCRNA.7226PMID:29914874
SPNCRNA.7227PMID:29914874
SPNCRNA.7209PMID:29914874
SPNCRNA.7208PMID:29914874
SPNCRNA.7207PMID:29914874
SPNCRNA.7206PMID:29914874
SPNCRNA.7189PMID:29914874
SPNCRNA.7190PMID:29914874
SPNCRNA.7191PMID:29914874
SPNCRNA.7192PMID:29914874
SPNCRNA.7193PMID:29914874
SPNCRNA.7194PMID:29914874
SPNCRNA.7195PMID:29914874
SPNCRNA.7196PMID:29914874
SPNCRNA.7197PMID:29914874
SPNCRNA.7198PMID:29914874
SPNCRNA.7199PMID:29914874
SPNCRNA.7200PMID:29914874
SPNCRNA.7201PMID:29914874
SPNCRNA.7202PMID:29914874
SPNCRNA.7203PMID:29914874
SPNCRNA.7204PMID:29914874
SPNCRNA.7205PMID:29914874
SPNCRNA.7228PMID:29914874
SPNCRNA.7229PMID:29914874
SPNCRNA.7230PMID:29914874
SPNCRNA.7251PMID:29914874
SPNCRNA.7253PMID:29914874
SPNCRNA.7254PMID:29914874
SPNCRNA.7255PMID:29914874
SPNCRNA.7256PMID:29914874
SPNCRNA.7257PMID:29914874
SPNCRNA.7258PMID:29914874
SPNCRNA.7259PMID:29914874
SPNCRNA.7260PMID:29914874
SPNCRNA.7261PMID:29914874
SPNCRNA.7262PMID:29914874
SPNCRNA.7263PMID:29914874
SPNCRNA.7264PMID:29914874
SPNCRNA.7265PMID:29914874
SPNCRNA.7266PMID:29914874
SPNCRNA.7267PMID:29914874
SPNCRNA.7268PMID:29914874
SPNCRNA.7269PMID:29914874
SPNCRNA.7252PMID:29914874
SPNCRNA.7250PMID:29914874
SPNCRNA.7231PMID:29914874
SPNCRNA.7249PMID:29914874
SPNCRNA.7232PMID:29914874
SPNCRNA.7233PMID:29914874
SPNCRNA.7234PMID:29914874
SPNCRNA.7235PMID:29914874
SPNCRNA.7236PMID:29914874
SPNCRNA.7237PMID:29914874
SPNCRNA.7238PMID:29914874
SPNCRNA.7239PMID:29914874
SPNCRNA.7240PMID:29914874
SPNCRNA.7241PMID:29914874
SPNCRNA.7242PMID:29914874
SPNCRNA.7243PMID:29914874
SPNCRNA.7244PMID:29914874
SPNCRNA.7245PMID:29914874
SPNCRNA.7246PMID:29914874
SPNCRNA.7247PMID:29914874
SPNCRNA.7248PMID:29914874
SPNCRNA.7188PMID:29914874
SPNCRNA.7187PMID:29914874
SPNCRNA.7186PMID:29914874
SPNCRNA.7124PMID:29914874
SPNCRNA.7126PMID:29914874
SPNCRNA.7127PMID:29914874
SPNCRNA.7128PMID:29914874
SPNCRNA.7129PMID:29914874
SPNCRNA.7130PMID:29914874
SPNCRNA.7131PMID:29914874
SPNCRNA.7132PMID:29914874
SPNCRNA.7133PMID:29914874
SPNCRNA.7134PMID:29914874
SPNCRNA.7135PMID:29914874
SPNCRNA.7136PMID:29914874
SPNCRNA.7137PMID:29914874
SPNCRNA.7138PMID:29914874
SPNCRNA.7139PMID:29914874
SPNCRNA.7140PMID:29914874
SPNCRNA.7141PMID:29914874
SPNCRNA.7142PMID:29914874
SPNCRNA.7125PMID:29914874
SPNCRNA.7123PMID:29914874
SPNCRNA.7144PMID:29914874
SPNCRNA.7122PMID:29914874
SPNCRNA.7104PMID:29914874
SPNCRNA.7105PMID:29914874
SPNCRNA.7106PMID:29914874
SPNCRNA.7107PMID:29914874
SPNCRNA.7108PMID:29914874
SPNCRNA.7109PMID:29914874
SPNCRNA.7110PMID:29914874
SPNCRNA.7111PMID:29914874
SPNCRNA.7112PMID:29914874
SPNCRNA.7113PMID:29914874
SPNCRNA.7114PMID:29914874
SPNCRNA.7115PMID:29914874
SPNCRNA.7116PMID:29914874
SPNCRNA.7118PMID:29914874
SPNCRNA.7119PMID:29914874
SPNCRNA.7120PMID:29914874
SPNCRNA.7121PMID:29914874
SPNCRNA.7143PMID:29914874
SPNCRNA.7145PMID:29914874
SPNCRNA.7185PMID:29914874
SPNCRNA.7166PMID:29914874
SPNCRNA.7168PMID:29914874
SPNCRNA.7169PMID:29914874
SPNCRNA.7170PMID:29914874
SPNCRNA.7171PMID:29914874
SPNCRNA.7172PMID:29914874
SPNCRNA.7173PMID:29914874
SPNCRNA.7174PMID:29914874
SPNCRNA.7175PMID:29914874
SPNCRNA.7176PMID:29914874
SPNCRNA.7177PMID:29914874
SPNCRNA.7178PMID:29914874
SPNCRNA.7179PMID:29914874
SPNCRNA.7180PMID:29914874
SPNCRNA.7181PMID:29914874
SPNCRNA.7182PMID:29914874
SPNCRNA.7183PMID:29914874
SPNCRNA.7184PMID:29914874
SPNCRNA.7167PMID:29914874
SPNCRNA.7165PMID:29914874
SPNCRNA.7146PMID:29914874
SPNCRNA.7164PMID:29914874
SPNCRNA.7147PMID:29914874
SPNCRNA.7148PMID:29914874
SPNCRNA.7149PMID:29914874
SPNCRNA.7150PMID:29914874
SPNCRNA.7151PMID:29914874
SPNCRNA.7152PMID:29914874
SPNCRNA.7153PMID:29914874
SPNCRNA.7154PMID:29914874
SPNCRNA.7155PMID:29914874
SPNCRNA.7156PMID:29914874
SPNCRNA.7157PMID:29914874
SPNCRNA.7158PMID:29914874
SPNCRNA.7159PMID:29914874
SPNCRNA.7160PMID:29914874
SPNCRNA.7161PMID:29914874
SPNCRNA.7162PMID:29914874
SPNCRNA.7163PMID:29914874
SPNCRNA.7270PMID:29914874
SPNCRNA.7271PMID:29914874
SPNCRNA.7272PMID:29914874
SPNCRNA.7377PMID:29914874
SPNCRNA.7379PMID:29914874
SPNCRNA.7380PMID:29914874
SPNCRNA.7381PMID:29914874
SPNCRNA.7382PMID:29914874
SPNCRNA.7383PMID:29914874
SPNCRNA.7384PMID:29914874
SPNCRNA.7385PMID:29914874
SPNCRNA.7386PMID:29914874
SPNCRNA.7387PMID:29914874
SPNCRNA.7388PMID:29914874
SPNCRNA.7389PMID:29914874
SPNCRNA.7390PMID:29914874
SPNCRNA.7391PMID:29914874
SPNCRNA.7392PMID:29914874
SPNCRNA.7393PMID:29914874
SPNCRNA.7394PMID:29914874
SPNCRNA.7395PMID:29914874
SPNCRNA.7378PMID:29914874
SPNCRNA.7376PMID:29914874
SPNCRNA.7397PMID:29914874
SPNCRNA.7375PMID:29914874
SPNCRNA.7358PMID:29914874
SPNCRNA.7359PMID:29914874
SPNCRNA.7360PMID:29914874
SPNCRNA.7361PMID:29914874
SPNCRNA.7362PMID:29914874
SPNCRNA.7363PMID:29914874
SPNCRNA.7364PMID:29914874
SPNCRNA.7365PMID:29914874
SPNCRNA.7366PMID:29914874
SPNCRNA.7367PMID:29914874
SPNCRNA.7368PMID:29914874
SPNCRNA.7369PMID:29914874
SPNCRNA.7370PMID:29914874
SPNCRNA.7371PMID:29914874
SPNCRNA.7372PMID:29914874
SPNCRNA.7373PMID:29914874
SPNCRNA.7374PMID:29914874
SPNCRNA.7396PMID:29914874
SPNCRNA.7398PMID:29914874
SPNCRNA.7356PMID:29914874
SPNCRNA.7419PMID:29914874
SPNCRNA.7421PMID:29914874
SPNCRNA.7422PMID:29914874
SPNCRNA.7423PMID:29914874
SPNCRNA.7424PMID:29914874
SPNCRNA.7425PMID:29914874
SPNCRNA.7426PMID:29914874
SPNCRNA.7427PMID:29914874
SPNCRNA.7428PMID:29914874
SPNCRNA.7429PMID:29914874
SPNCRNA.7430PMID:29914874
SPNCRNA.7431PMID:29914874
SPNCRNA.7432PMID:29914874
SPNCRNA.7433PMID:29914874
SPNCRNA.7434PMID:29914874
SPNCRNA.7435PMID:29914874
SPNCRNA.7436PMID:29914874
SPNCRNA.7437PMID:29914874
SPNCRNA.7420PMID:29914874
SPNCRNA.7418PMID:29914874
SPNCRNA.7399PMID:29914874
SPNCRNA.7417PMID:29914874
SPNCRNA.7400PMID:29914874
SPNCRNA.7401PMID:29914874
SPNCRNA.7402PMID:29914874
SPNCRNA.7403PMID:29914874
SPNCRNA.7404PMID:29914874
SPNCRNA.7405PMID:29914874
SPNCRNA.7406PMID:29914874
SPNCRNA.7407PMID:29914874
SPNCRNA.7408PMID:29914874
SPNCRNA.7409PMID:29914874
SPNCRNA.7410PMID:29914874
SPNCRNA.7411PMID:29914874
SPNCRNA.7412PMID:29914874
SPNCRNA.7413PMID:29914874
SPNCRNA.7414PMID:29914874
SPNCRNA.7415PMID:29914874
SPNCRNA.7416PMID:29914874
SPNCRNA.7357PMID:29914874
SPNCRNA.7355PMID:29914874
SPNCRNA.7273PMID:29914874
SPNCRNA.7293PMID:29914874
SPNCRNA.7295PMID:29914874
SPNCRNA.7296PMID:29914874
SPNCRNA.7297PMID:29914874
SPNCRNA.7298PMID:29914874
SPNCRNA.7299PMID:29914874
SPNCRNA.7300PMID:29914874
SPNCRNA.7301PMID:29914874
SPNCRNA.7302PMID:29914874
SPNCRNA.7303PMID:29914874
SPNCRNA.7304PMID:29914874
SPNCRNA.7305PMID:29914874
SPNCRNA.7306PMID:29914874
SPNCRNA.7307PMID:29914874
SPNCRNA.7308PMID:29914874
SPNCRNA.7309PMID:29914874
SPNCRNA.7310PMID:29914874
SPNCRNA.7311PMID:29914874
SPNCRNA.7294PMID:29914874
SPNCRNA.7292PMID:29914874
SPNCRNA.7313PMID:29914874
SPNCRNA.7291PMID:29914874
SPNCRNA.7274PMID:29914874
SPNCRNA.7275PMID:29914874
SPNCRNA.7276PMID:29914874
SPNCRNA.7277PMID:29914874
SPNCRNA.7278PMID:29914874
SPNCRNA.7279PMID:29914874
SPNCRNA.7280PMID:29914874
SPNCRNA.7281PMID:29914874
SPNCRNA.7282PMID:29914874
SPNCRNA.7283PMID:29914874
SPNCRNA.7284PMID:29914874
SPNCRNA.7285PMID:29914874
SPNCRNA.7286PMID:29914874
SPNCRNA.7287PMID:29914874
SPNCRNA.7288PMID:29914874
SPNCRNA.7289PMID:29914874
SPNCRNA.7290PMID:29914874
SPNCRNA.7312PMID:29914874
SPNCRNA.7314PMID:29914874
SPNCRNA.7354PMID:29914874
SPNCRNA.7335PMID:29914874
SPNCRNA.7337PMID:29914874
SPNCRNA.7338PMID:29914874
SPNCRNA.7339PMID:29914874
SPNCRNA.7340PMID:29914874
SPNCRNA.7341PMID:29914874
SPNCRNA.7342PMID:29914874
SPNCRNA.7343PMID:29914874
SPNCRNA.7344PMID:29914874
SPNCRNA.7345PMID:29914874
SPNCRNA.7346PMID:29914874
SPNCRNA.7347PMID:29914874
SPNCRNA.7348PMID:29914874
SPNCRNA.7349PMID:29914874
SPNCRNA.7350PMID:29914874
SPNCRNA.7351PMID:29914874
SPNCRNA.7352PMID:29914874
SPNCRNA.7353PMID:29914874
SPNCRNA.7336PMID:29914874
SPNCRNA.7334PMID:29914874
SPNCRNA.7315PMID:29914874
SPNCRNA.7333PMID:29914874
SPNCRNA.7316PMID:29914874
SPNCRNA.7317PMID:29914874
SPNCRNA.7318PMID:29914874
SPNCRNA.7319PMID:29914874
SPNCRNA.7320PMID:29914874
SPNCRNA.7321PMID:29914874
SPNCRNA.7322PMID:29914874
SPNCRNA.7323PMID:29914874
SPNCRNA.7324PMID:29914874
SPNCRNA.7325PMID:29914874
SPNCRNA.7326PMID:29914874
SPNCRNA.7327PMID:29914874
SPNCRNA.7328PMID:29914874
SPNCRNA.7329PMID:29914874
SPNCRNA.7330PMID:29914874
SPNCRNA.7331PMID:29914874
SPNCRNA.7332PMID:29914874
SPNCRNA.2568PMID:29914874
SPNCRNA.6705PMID:29914874
SPNCRNA.6993PMID:29914874
SPNCRNA.3387PMID:29914874
SPNCRNA.3395PMID:29914874
SPNCRNA.3394PMID:29914874
SPNCRNA.3393PMID:29914874
SPNCRNA.3392PMID:29914874
SPNCRNA.3391PMID:29914874
SPNCRNA.3390PMID:29914874
SPNCRNA.3389PMID:29914874
SPNCRNA.3388PMID:29914874
SPNCRNA.3386PMID:29914874
SPNCRNA.3377PMID:29914874
SPNCRNA.3385PMID:29914874
SPNCRNA.3384PMID:29914874
SPNCRNA.3383PMID:29914874
SPNCRNA.3382PMID:29914874
SPNCRNA.3381PMID:29914874
SPNCRNA.3380PMID:29914874
SPNCRNA.6936PMID:29914874
SPNCRNA.3379PMID:29914874
SPNCRNA.3396PMID:29914874
SPNCRNA.3397PMID:29914874
SPNCRNA.3398PMID:29914874
SPNCRNA.3399PMID:29914874
SPNCRNA.3415PMID:29914874
SPNCRNA.3414PMID:29914874
SPNCRNA.3413PMID:29914874
SPNCRNA.3412PMID:29914874
SPNCRNA.3411PMID:29914874
SPNCRNA.3410PMID:29914874
SPNCRNA.3409PMID:29914874
SPNCRNA.3408PMID:29914874
SPNCRNA.3407PMID:29914874
SPNCRNA.3406PMID:29914874
SPNCRNA.3405PMID:29914874
SPNCRNA.3404PMID:29914874
SPNCRNA.3403PMID:29914874
SPNCRNA.3402PMID:29914874
SPNCRNA.3401PMID:29914874
SPNCRNA.3400PMID:29914874
SPNCRNA.6935PMID:29914874
SPNCRNA.3378PMID:29914874
SPNCRNA.3376PMID:29914874
SPNCRNA.3336PMID:29914874
SPNCRNA.3347PMID:29914874
SPNCRNA.3354PMID:29914874
SPNCRNA.3353PMID:29914874
SPNCRNA.3352PMID:29914874
SPNCRNA.3351PMID:29914874
SPNCRNA.3350PMID:29914874
SPNCRNA.6938PMID:29914874
SPNCRNA.3349PMID:29914874
SPNCRNA.3348PMID:29914874
SPNCRNA.3346PMID:29914874
SPNCRNA.3375PMID:29914874
SPNCRNA.3345PMID:29914874
SPNCRNA.3344PMID:29914874
SPNCRNA.3343PMID:29914874
SPNCRNA.3342PMID:29914874
SPNCRNA.3341PMID:29914874
SPNCRNA.3340PMID:29914874
SPNCRNA.3339PMID:29914874
SPNCRNA.2570PMID:29914874
SPNCRNA.3355PMID:29914874
SPNCRNA.3356PMID:29914874
SPNCRNA.3357PMID:29914874
SPNCRNA.3358PMID:29914874
SPNCRNA.3374PMID:29914874
SPNCRNA.3373PMID:29914874
SPNCRNA.3372PMID:29914874
SPNCRNA.3371PMID:29914874
SPNCRNA.3370PMID:29914874
SPNCRNA.6937PMID:29914874
SPNCRNA.3369PMID:29914874
SPNCRNA.3368PMID:29914874
SPNCRNA.3367PMID:29914874
SPNCRNA.3366PMID:29914874
SPNCRNA.3365PMID:29914874
SPNCRNA.3364PMID:29914874
SPNCRNA.3363PMID:29914874
SPNCRNA.3362PMID:29914874
SPNCRNA.3361PMID:29914874
SPNCRNA.3360PMID:29914874
SPNCRNA.3359PMID:29914874
SPNCRNA.3416PMID:29914874
SPNCRNA.3417PMID:29914874
SPNCRNA.3418PMID:29914874
SPNCRNA.3470PMID:29914874
SPNCRNA.3478PMID:29914874
SPNCRNA.3477PMID:29914874
SPNCRNA.3476PMID:29914874
SPNCRNA.3475PMID:29914874
SPNCRNA.3474PMID:29914874
SPNCRNA.3473PMID:29914874
SPNCRNA.3472PMID:29914874
SPNCRNA.3471PMID:29914874
SPNCRNA.3469PMID:29914874
SPNCRNA.3419PMID:29914874
SPNCRNA.3468PMID:29914874
SPNCRNA.3467PMID:29914874
SPNCRNA.3466PMID:29914874
SPNCRNA.3465PMID:29914874
SPNCRNA.3464PMID:29914874
SPNCRNA.3463PMID:29914874
SPNCRNA.3462PMID:29914874
SPNCRNA.3461PMID:29914874
SPNCRNA.3479PMID:29914874
SPNCRNA.6933PMID:29914874
SPNCRNA.3480PMID:29914874
SPNCRNA.3481PMID:29914874
SPNCRNA.3498PMID:29914874
SPNCRNA.3497PMID:29914874
SPNCRNA.3496PMID:29914874
SPNCRNA.3495PMID:29914874
SPNCRNA.3494PMID:29914874
SPNCRNA.3493PMID:29914874
SPNCRNA.3492PMID:29914874
SPNCRNA.3491PMID:29914874
SPNCRNA.3490PMID:29914874
SPNCRNA.3489PMID:29914874
SPNCRNA.3488PMID:29914874
SPNCRNA.3487PMID:29914874
SPNCRNA.3486PMID:29914874
SPNCRNA.3485PMID:29914874
SPNCRNA.3484PMID:29914874
SPNCRNA.3483PMID:29914874
SPNCRNA.3482PMID:29914874
SPNCRNA.3460PMID:29914874
SPNCRNA.6934PMID:29914874
SPNCRNA.3459PMID:29914874
SPNCRNA.3438PMID:29914874
SPNCRNA.3436PMID:29914874
SPNCRNA.3435PMID:29914874
SPNCRNA.3434PMID:29914874
SPNCRNA.3433PMID:29914874
SPNCRNA.3432PMID:29914874
SPNCRNA.3431PMID:29914874
SPNCRNA.3430PMID:29914874
SPNCRNA.3429PMID:29914874
SPNCRNA.3428PMID:29914874
SPNCRNA.3427PMID:29914874
SPNCRNA.3426PMID:29914874
SPNCRNA.3425PMID:29914874
SPNCRNA.3424PMID:29914874
SPNCRNA.3423PMID:29914874
SPNCRNA.3422PMID:29914874
SPNCRNA.3421PMID:29914874
SPNCRNA.3420PMID:29914874
SPNCRNA.3437PMID:29914874
SPNCRNA.3439PMID:29914874
SPNCRNA.3458PMID:29914874
SPNCRNA.3440PMID:29914874
SPNCRNA.3457PMID:29914874
SPNCRNA.3456PMID:29914874
SPNCRNA.3455PMID:29914874
SPNCRNA.3454PMID:29914874
SPNCRNA.3453PMID:29914874
SPNCRNA.3452PMID:29914874
SPNCRNA.3451PMID:29914874
SPNCRNA.3450PMID:29914874
SPNCRNA.3449PMID:29914874
SPNCRNA.3448PMID:29914874
SPNCRNA.3447PMID:29914874
SPNCRNA.3446PMID:29914874
SPNCRNA.3445PMID:29914874
SPNCRNA.3444PMID:29914874
SPNCRNA.3443PMID:29914874
SPNCRNA.3442PMID:29914874
SPNCRNA.3441PMID:29914874
SPNCRNA.3337PMID:29914874
SPNCRNA.3335PMID:29914874
SPNCRNA.6932PMID:29914874
SPNCRNA.3226PMID:29914874
SPNCRNA.3233PMID:29914874
SPNCRNA.3232PMID:29914874
SPNCRNA.3231PMID:29914874
SPNCRNA.3230PMID:29914874
SPNCRNA.6945PMID:29914874
SPNCRNA.3229PMID:29914874
SPNCRNA.3228PMID:29914874
SPNCRNA.3227PMID:29914874
SPNCRNA.3225PMID:29914874
SPNCRNA.3216PMID:29914874
SPNCRNA.3224PMID:29914874
SPNCRNA.3223PMID:29914874
SPNCRNA.3222PMID:29914874
SPNCRNA.3221PMID:29914874
SPNCRNA.3220PMID:29914874
SPNCRNA.6946PMID:29914874
SPNCRNA.3219PMID:29914874
SPNCRNA.3218PMID:29914874
SPNCRNA.3234PMID:29914874
SPNCRNA.3235PMID:29914874
SPNCRNA.3236PMID:29914874
SPNCRNA.3237PMID:29914874
SPNCRNA.3253PMID:29914874
SPNCRNA.3252PMID:29914874
SPNCRNA.3251PMID:29914874
SPNCRNA.3250PMID:29914874
SPNCRNA.3249PMID:29914874
SPNCRNA.3248PMID:29914874
SPNCRNA.3247PMID:29914874
SPNCRNA.3246PMID:29914874
SPNCRNA.3245PMID:29914874
SPNCRNA.3244PMID:29914874
SPNCRNA.3243PMID:29914874
SPNCRNA.3242PMID:29914874
SPNCRNA.3241PMID:29914874
SPNCRNA.3240PMID:29914874
SPNCRNA.6944PMID:29914874
SPNCRNA.3239PMID:29914874
SPNCRNA.3238PMID:29914874
SPNCRNA.3217PMID:29914874
SPNCRNA.3215PMID:29914874
SPNCRNA.3334PMID:29914874
SPNCRNA.3186PMID:29914874
SPNCRNA.3193PMID:29914874
SPNCRNA.3192PMID:29914874
SPNCRNA.3191PMID:29914874
SPNCRNA.3190PMID:29914874
SPNCRNA.6948PMID:29914874
SPNCRNA.3189PMID:29914874
SPNCRNA.3188PMID:29914874
SPNCRNA.3187PMID:29914874
SPNCRNA.3185PMID:29914874
SPNCRNA.3214PMID:29914874
SPNCRNA.3184PMID:29914874
SPNCRNA.3183PMID:29914874
SPNCRNA.3182PMID:29914874
SPNCRNA.3181PMID:29914874
SPNCRNA.3180PMID:29914874
SPNCRNA.6949PMID:29914874
SPNCRNA.3179PMID:29914874
SPNCRNA.3178PMID:29914874
SPNCRNA.3194PMID:29914874
SPNCRNA.3195PMID:29914874
SPNCRNA.3196PMID:29914874
SPNCRNA.3197PMID:29914874
SPNCRNA.3213PMID:29914874
SPNCRNA.3212PMID:29914874
SPNCRNA.3211PMID:29914874
SPNCRNA.3210PMID:29914874
SPNCRNA.3209PMID:29914874
SPNCRNA.3208PMID:29914874
SPNCRNA.3207PMID:29914874
SPNCRNA.3206PMID:29914874
SPNCRNA.3205PMID:29914874
SPNCRNA.3204PMID:29914874
SPNCRNA.3203PMID:29914874
SPNCRNA.3202PMID:29914874
SPNCRNA.3201PMID:29914874
SPNCRNA.3200PMID:29914874
SPNCRNA.6947PMID:29914874
SPNCRNA.3199PMID:29914874
SPNCRNA.3198PMID:29914874
SPNCRNA.3254PMID:29914874
SPNCRNA.3255PMID:29914874
SPNCRNA.3256PMID:29914874
SPNCRNA.3305PMID:29914874
SPNCRNA.3313PMID:29914874
SPNCRNA.3312PMID:29914874
SPNCRNA.3311PMID:29914874
SPNCRNA.3310PMID:29914874
SPNCRNA.3309PMID:29914874
SPNCRNA.3308PMID:29914874
SPNCRNA.3307PMID:29914874
SPNCRNA.3306PMID:29914874
SPNCRNA.3304PMID:29914874
SPNCRNA.3257PMID:29914874
SPNCRNA.3303PMID:29914874
SPNCRNA.3302PMID:29914874
SPNCRNA.3301PMID:29914874
SPNCRNA.3300PMID:29914874
SPNCRNA.6940PMID:29914874
SPNCRNA.3299PMID:29914874
SPNCRNA.3298PMID:29914874
SPNCRNA.3297PMID:29914874
SPNCRNA.3314PMID:29914874
SPNCRNA.3315PMID:29914874
SPNCRNA.3316PMID:29914874
SPNCRNA.3317PMID:29914874
SPNCRNA.3333PMID:29914874
SPNCRNA.3332PMID:29914874
SPNCRNA.3331PMID:29914874
SPNCRNA.3330PMID:29914874
SPNCRNA.6939PMID:29914874
SPNCRNA.3329PMID:29914874
SPNCRNA.3328PMID:29914874
SPNCRNA.3327PMID:29914874
SPNCRNA.3326PMID:29914874
SPNCRNA.3325PMID:29914874
SPNCRNA.3324PMID:29914874
SPNCRNA.3323PMID:29914874
SPNCRNA.3322PMID:29914874
SPNCRNA.3321PMID:29914874
SPNCRNA.3320PMID:29914874
SPNCRNA.3319PMID:29914874
SPNCRNA.3318PMID:29914874
SPNCRNA.3296PMID:29914874
SPNCRNA.3295PMID:29914874
SPNCRNA.3294PMID:29914874
SPNCRNA.3274PMID:29914874
SPNCRNA.3272PMID:29914874
SPNCRNA.3271PMID:29914874
SPNCRNA.3270PMID:29914874
SPNCRNA.6942PMID:29914874
SPNCRNA.3269PMID:29914874
SPNCRNA.3268PMID:29914874
SPNCRNA.3267PMID:29914874
SPNCRNA.3266PMID:29914874
SPNCRNA.3265PMID:29914874
SPNCRNA.3264PMID:29914874
SPNCRNA.3263PMID:29914874
SPNCRNA.3262PMID:29914874
SPNCRNA.3261PMID:29914874
SPNCRNA.3260PMID:29914874
SPNCRNA.6943PMID:29914874
SPNCRNA.3259PMID:29914874
SPNCRNA.3258PMID:29914874
SPNCRNA.3273PMID:29914874
SPNCRNA.3275PMID:29914874
SPNCRNA.3293PMID:29914874
SPNCRNA.3276PMID:29914874
SPNCRNA.3292PMID:29914874
SPNCRNA.3291PMID:29914874
SPNCRNA.3290PMID:29914874
SPNCRNA.3289PMID:29914874
SPNCRNA.3288PMID:29914874
SPNCRNA.3287PMID:29914874
SPNCRNA.3286PMID:29914874
SPNCRNA.3285PMID:29914874
SPNCRNA.3284PMID:29914874
SPNCRNA.3283PMID:29914874
SPNCRNA.3282PMID:29914874
SPNCRNA.3281PMID:29914874
SPNCRNA.3280PMID:29914874
SPNCRNA.6941PMID:29914874
SPNCRNA.3279PMID:29914874
SPNCRNA.3278PMID:29914874
SPNCRNA.3277PMID:29914874
SPNCRNA.3499PMID:29914874
SPNCRNA.3500PMID:29914874
SPNCRNA.3176PMID:29914874
SPNCRNA.6916PMID:29914874
SPNCRNA.3717PMID:29914874
SPNCRNA.3716PMID:29914874
SPNCRNA.3715PMID:29914874
SPNCRNA.3714PMID:29914874
SPNCRNA.3713PMID:29914874
SPNCRNA.3712PMID:29914874
SPNCRNA.3711PMID:29914874
SPNCRNA.3710PMID:29914874
SPNCRNA.3709PMID:29914874
SPNCRNA.6917PMID:29914874
SPNCRNA.3708PMID:29914874
SPNCRNA.3707PMID:29914874
SPNCRNA.3706PMID:29914874
SPNCRNA.3705PMID:29914874
SPNCRNA.3704PMID:29914874
SPNCRNA.3703PMID:29914874
SPNCRNA.3702PMID:29914874
SPNCRNA.3701PMID:29914874
SPNCRNA.3718PMID:29914874
SPNCRNA.3719PMID:29914874
SPNCRNA.6915PMID:29914874
SPNCRNA.3720PMID:29914874
SPNCRNA.3736PMID:29914874
SPNCRNA.3735PMID:29914874
SPNCRNA.3734PMID:29914874
SPNCRNA.3733PMID:29914874
SPNCRNA.3732PMID:29914874
SPNCRNA.3731PMID:29914874
SPNCRNA.3730PMID:29914874
SPNCRNA.6914PMID:29914874
SPNCRNA.3729PMID:29914874
SPNCRNA.3728PMID:29914874
SPNCRNA.3727PMID:29914874
SPNCRNA.3726PMID:29914874
SPNCRNA.3725PMID:29914874
SPNCRNA.3724PMID:29914874
SPNCRNA.3723PMID:29914874
SPNCRNA.3722PMID:29914874
SPNCRNA.3721PMID:29914874
SPNCRNA.3700PMID:29914874
SPNCRNA.6918PMID:29914874
SPNCRNA.3660PMID:29914874
SPNCRNA.3670PMID:29914874
SPNCRNA.3678PMID:29914874
SPNCRNA.3677PMID:29914874
SPNCRNA.3676PMID:29914874
SPNCRNA.3675PMID:29914874
SPNCRNA.3674PMID:29914874
SPNCRNA.3673PMID:29914874
SPNCRNA.3672PMID:29914874
SPNCRNA.3671PMID:29914874
SPNCRNA.6920PMID:29914874
SPNCRNA.3699PMID:29914874
SPNCRNA.3669PMID:29914874
SPNCRNA.3668PMID:29914874
SPNCRNA.3667PMID:29914874
SPNCRNA.3666PMID:29914874
SPNCRNA.3665PMID:29914874
SPNCRNA.3664PMID:29914874
SPNCRNA.3663PMID:29914874
SPNCRNA.3662PMID:29914874
SPNCRNA.3679PMID:29914874
SPNCRNA.3680PMID:29914874
SPNCRNA.3681PMID:29914874
SPNCRNA.3682PMID:29914874
SPNCRNA.3698PMID:29914874
SPNCRNA.3697PMID:29914874
SPNCRNA.3696PMID:29914874
SPNCRNA.3695PMID:29914874
SPNCRNA.3694PMID:29914874
SPNCRNA.3693PMID:29914874
SPNCRNA.3692PMID:29914874
SPNCRNA.3691PMID:29914874
SPNCRNA.3690PMID:29914874
SPNCRNA.6919PMID:29914874
SPNCRNA.3689PMID:29914874
SPNCRNA.3688PMID:29914874
SPNCRNA.3687PMID:29914874
SPNCRNA.3686PMID:29914874
SPNCRNA.3685PMID:29914874
SPNCRNA.3684PMID:29914874
SPNCRNA.3683PMID:29914874
SPNCRNA.3737PMID:29914874
SPNCRNA.3738PMID:29914874
SPNCRNA.3739PMID:29914874
SPNCRNA.3789PMID:29914874
SPNCRNA.3797PMID:29914874
SPNCRNA.3796PMID:29914874
SPNCRNA.3795PMID:29914874
SPNCRNA.3794PMID:29914874
SPNCRNA.3793PMID:29914874
SPNCRNA.3792PMID:29914874
SPNCRNA.3791PMID:29914874
SPNCRNA.3790PMID:29914874
SPNCRNA.3788PMID:29914874
SPNCRNA.6913PMID:29914874
SPNCRNA.3787PMID:29914874
SPNCRNA.3786PMID:29914874
SPNCRNA.3785PMID:29914874
SPNCRNA.3784PMID:29914874
SPNCRNA.3783PMID:29914874
SPNCRNA.3782PMID:29914874
SPNCRNA.3781PMID:29914874
SPNCRNA.3780PMID:29914874
SPNCRNA.3798PMID:29914874
SPNCRNA.3799PMID:29914874
SPNCRNA.6910PMID:29914874
SPNCRNA.3800PMID:29914874
SPNCRNA.3817PMID:29914874
SPNCRNA.3816PMID:29914874
SPNCRNA.3815PMID:29914874
SPNCRNA.3814PMID:29914874
SPNCRNA.3813PMID:29914874
SPNCRNA.3812PMID:29914874
SPNCRNA.3811PMID:29914874
SPNCRNA.3810PMID:29914874
SPNCRNA.3809PMID:29914874
SPNCRNA.3808PMID:29914874
SPNCRNA.3807PMID:29914874
SPNCRNA.3806PMID:29914874
SPNCRNA.3805PMID:29914874
SPNCRNA.3804PMID:29914874
SPNCRNA.3803PMID:29914874
SPNCRNA.3802PMID:29914874
SPNCRNA.3801PMID:29914874
SPNCRNA.3779PMID:29914874
SPNCRNA.3778PMID:29914874
SPNCRNA.3777PMID:29914874
SPNCRNA.3758PMID:29914874
SPNCRNA.3756PMID:29914874
SPNCRNA.3755PMID:29914874
SPNCRNA.3754PMID:29914874
SPNCRNA.3753PMID:29914874
SPNCRNA.3752PMID:29914874
SPNCRNA.3751PMID:29914874
SPNCRNA.3750PMID:29914874
SPNCRNA.3749PMID:29914874
SPNCRNA.3748PMID:29914874
SPNCRNA.3747PMID:29914874
SPNCRNA.3746PMID:29914874
SPNCRNA.3745PMID:29914874
SPNCRNA.3744PMID:29914874
SPNCRNA.3743PMID:29914874
SPNCRNA.3742PMID:29914874
SPNCRNA.3741PMID:29914874
SPNCRNA.3740PMID:29914874
SPNCRNA.3757PMID:29914874
SPNCRNA.3759PMID:29914874
SPNCRNA.3776PMID:29914874
SPNCRNA.6912PMID:29914874
SPNCRNA.3775PMID:29914874
SPNCRNA.3774PMID:29914874
SPNCRNA.3773PMID:29914874
SPNCRNA.3772PMID:29914874
SPNCRNA.3771PMID:29914874
SPNCRNA.3770PMID:29914874
SPNCRNA.6911PMID:29914874
SPNCRNA.3769PMID:29914874
SPNCRNA.3768PMID:29914874
SPNCRNA.3767PMID:29914874
SPNCRNA.3766PMID:29914874
SPNCRNA.3765PMID:29914874
SPNCRNA.3764PMID:29914874
SPNCRNA.3763PMID:29914874
SPNCRNA.3762PMID:29914874
SPNCRNA.3761PMID:29914874
SPNCRNA.3760PMID:29914874
SPNCRNA.3661PMID:29914874
SPNCRNA.6921PMID:29914874
SPNCRNA.3501PMID:29914874
SPNCRNA.3552PMID:29914874
SPNCRNA.3560PMID:29914874
SPNCRNA.3559PMID:29914874
SPNCRNA.3558PMID:29914874
SPNCRNA.3557PMID:29914874
SPNCRNA.3556PMID:29914874
SPNCRNA.3555PMID:29914874
SPNCRNA.3554PMID:29914874
SPNCRNA.3553PMID:29914874
SPNCRNA.3551PMID:29914874
SPNCRNA.3541PMID:29914874
SPNCRNA.3550PMID:29914874
SPNCRNA.3549PMID:29914874
SPNCRNA.3548PMID:29914874
SPNCRNA.3547PMID:29914874
SPNCRNA.3546PMID:29914874
SPNCRNA.3545PMID:29914874
SPNCRNA.3544PMID:29914874
SPNCRNA.3543PMID:29914874
SPNCRNA.3561PMID:29914874
SPNCRNA.3562PMID:29914874
SPNCRNA.3563PMID:29914874
SPNCRNA.3564PMID:29914874
SPNCRNA.3581PMID:29914874
SPNCRNA.3580PMID:29914874
SPNCRNA.3579PMID:29914874
SPNCRNA.3578PMID:29914874
SPNCRNA.3577PMID:29914874
SPNCRNA.3576PMID:29914874
SPNCRNA.3575PMID:29914874
SPNCRNA.3574PMID:29914874
SPNCRNA.3573PMID:29914874
SPNCRNA.3572PMID:29914874
SPNCRNA.3571PMID:29914874
SPNCRNA.3570PMID:29914874
SPNCRNA.3569PMID:29914874
SPNCRNA.3568PMID:29914874
SPNCRNA.3567PMID:29914874
SPNCRNA.3566PMID:29914874
SPNCRNA.3565PMID:29914874
SPNCRNA.3542PMID:29914874
SPNCRNA.3540PMID:29914874
SPNCRNA.3659PMID:29914874
SPNCRNA.3510PMID:29914874
SPNCRNA.3518PMID:29914874
SPNCRNA.3517PMID:29914874
SPNCRNA.3516PMID:29914874
SPNCRNA.3515PMID:29914874
SPNCRNA.3514PMID:29914874
SPNCRNA.3513PMID:29914874
SPNCRNA.3512PMID:29914874
SPNCRNA.3511PMID:29914874
SPNCRNA.6931PMID:29914874
SPNCRNA.3539PMID:29914874
SPNCRNA.3509PMID:29914874
SPNCRNA.3508PMID:29914874
SPNCRNA.3507PMID:29914874
SPNCRNA.3506PMID:29914874
SPNCRNA.3505PMID:29914874
SPNCRNA.3504PMID:29914874
SPNCRNA.3503PMID:29914874
SPNCRNA.3502PMID:29914874
SPNCRNA.3519PMID:29914874
SPNCRNA.6930PMID:29914874
SPNCRNA.3520PMID:29914874
SPNCRNA.3521PMID:29914874
SPNCRNA.3538PMID:29914874
SPNCRNA.3537PMID:29914874
SPNCRNA.3536PMID:29914874
SPNCRNA.3535PMID:29914874
SPNCRNA.3534PMID:29914874
SPNCRNA.3533PMID:29914874
SPNCRNA.3532PMID:29914874
SPNCRNA.3531PMID:29914874
SPNCRNA.3530PMID:29914874
SPNCRNA.3529PMID:29914874
SPNCRNA.3528PMID:29914874
SPNCRNA.3527PMID:29914874
SPNCRNA.3526PMID:29914874
SPNCRNA.3525PMID:29914874
SPNCRNA.3524PMID:29914874
SPNCRNA.3523PMID:29914874
SPNCRNA.3522PMID:29914874
SPNCRNA.3582PMID:29914874
SPNCRNA.3583PMID:29914874
SPNCRNA.3584PMID:29914874
SPNCRNA.3631PMID:29914874
SPNCRNA.3639PMID:29914874
SPNCRNA.3638PMID:29914874
SPNCRNA.3637PMID:29914874
SPNCRNA.3636PMID:29914874
SPNCRNA.3635PMID:29914874
SPNCRNA.3634PMID:29914874
SPNCRNA.3633PMID:29914874
SPNCRNA.3632PMID:29914874
SPNCRNA.3630PMID:29914874
SPNCRNA.3585PMID:29914874
SPNCRNA.6924PMID:29914874
SPNCRNA.3629PMID:29914874
SPNCRNA.3628PMID:29914874
SPNCRNA.3627PMID:29914874
SPNCRNA.3626PMID:29914874
SPNCRNA.3625PMID:29914874
SPNCRNA.3624PMID:29914874
SPNCRNA.3623PMID:29914874
SPNCRNA.6923PMID:29914874
SPNCRNA.3640PMID:29914874
SPNCRNA.3641PMID:29914874
SPNCRNA.3642PMID:29914874
SPNCRNA.3658PMID:29914874
SPNCRNA.3657PMID:29914874
SPNCRNA.3656PMID:29914874
SPNCRNA.3655PMID:29914874
SPNCRNA.3654PMID:29914874
SPNCRNA.3653PMID:29914874
SPNCRNA.3652PMID:29914874
SPNCRNA.3651PMID:29914874
SPNCRNA.3650PMID:29914874
SPNCRNA.6922PMID:29914874
SPNCRNA.3649PMID:29914874
SPNCRNA.3648PMID:29914874
SPNCRNA.3647PMID:29914874
SPNCRNA.3646PMID:29914874
SPNCRNA.3645PMID:29914874
SPNCRNA.3644PMID:29914874
SPNCRNA.3643PMID:29914874
SPNCRNA.3622PMID:29914874
SPNCRNA.3621PMID:29914874
SPNCRNA.3620PMID:29914874
SPNCRNA.3601PMID:29914874
SPNCRNA.6927PMID:29914874
SPNCRNA.6928PMID:29914874
SPNCRNA.3599PMID:29914874
SPNCRNA.3598PMID:29914874
SPNCRNA.3597PMID:29914874
SPNCRNA.3596PMID:29914874
SPNCRNA.3595PMID:29914874
SPNCRNA.3594PMID:29914874
SPNCRNA.3593PMID:29914874
SPNCRNA.3592PMID:29914874
SPNCRNA.3591PMID:29914874
SPNCRNA.3590PMID:29914874
SPNCRNA.6929PMID:29914874
SPNCRNA.3589PMID:29914874
SPNCRNA.3588PMID:29914874
SPNCRNA.3587PMID:29914874
SPNCRNA.3586PMID:29914874
SPNCRNA.3600PMID:29914874
SPNCRNA.3602PMID:29914874
SPNCRNA.6925PMID:29914874
SPNCRNA.3603PMID:29914874
SPNCRNA.3619PMID:29914874
SPNCRNA.3618PMID:29914874
SPNCRNA.3617PMID:29914874
SPNCRNA.3616PMID:29914874
SPNCRNA.3615PMID:29914874
SPNCRNA.3614PMID:29914874
SPNCRNA.3613PMID:29914874
SPNCRNA.3612PMID:29914874
SPNCRNA.3611PMID:29914874
SPNCRNA.3610PMID:29914874
SPNCRNA.6926PMID:29914874
SPNCRNA.3609PMID:29914874
SPNCRNA.3608PMID:29914874
SPNCRNA.3607PMID:29914874
SPNCRNA.3606PMID:29914874
SPNCRNA.3605PMID:29914874
SPNCRNA.3604PMID:29914874
SPNCRNA.3177PMID:29914874
SPNCRNA.3338PMID:29914874
SPNCRNA.3175PMID:29914874
SPNCRNA.2815PMID:29914874
SPNCRNA.2794PMID:29914874
SPNCRNA.2793PMID:29914874
SPNCRNA.2792PMID:29914874
SPNCRNA.2791PMID:29914874
SPNCRNA.2790PMID:29914874
SPNCRNA.6977PMID:29914874
SPNCRNA.2789PMID:29914874
SPNCRNA.2788PMID:29914874
SPNCRNA.2787PMID:29914874
SPNCRNA.2786PMID:29914874
SPNCRNA.2785PMID:29914874
SPNCRNA.2784PMID:29914874
SPNCRNA.2783PMID:29914874
SPNCRNA.2782PMID:29914874
SPNCRNA.2781PMID:29914874
SPNCRNA.2780PMID:29914874
SPNCRNA.6978PMID:29914874
SPNCRNA.2779PMID:29914874
SPNCRNA.2778PMID:29914874
SPNCRNA.2795PMID:29914874
SPNCRNA.2796PMID:29914874
SPNCRNA.2797PMID:29914874
SPNCRNA.2806PMID:29914874
SPNCRNA.2813PMID:29914874
SPNCRNA.2812PMID:29914874
SPNCRNA.2811PMID:29914874
SPNCRNA.2810PMID:29914874
SPNCRNA.6974PMID:29914874
SPNCRNA.2809PMID:29914874
SPNCRNA.2808PMID:29914874
SPNCRNA.2807PMID:29914874
SPNCRNA.2805PMID:29914874
SPNCRNA.2798PMID:29914874
SPNCRNA.2804PMID:29914874
SPNCRNA.2803PMID:29914874
SPNCRNA.2802PMID:29914874
SPNCRNA.2801PMID:29914874
SPNCRNA.2800PMID:29914874
SPNCRNA.6975PMID:29914874
SPNCRNA.6976PMID:29914874
SPNCRNA.2799PMID:29914874
SPNCRNA.2777PMID:29914874
SPNCRNA.2776PMID:29914874
SPNCRNA.2775PMID:29914874
SPNCRNA.2744PMID:29914874
SPNCRNA.2752PMID:29914874
SPNCRNA.2751PMID:29914874
SPNCRNA.2750PMID:29914874
SPNCRNA.2749PMID:29914874
SPNCRNA.2748PMID:29914874
SPNCRNA.2747PMID:29914874
SPNCRNA.2746PMID:29914874
SPNCRNA.2745PMID:29914874
SPNCRNA.2743PMID:29914874
SPNCRNA.2754PMID:29914874
SPNCRNA.2742PMID:29914874
SPNCRNA.2741PMID:29914874
SPNCRNA.2740PMID:29914874
SPNCRNA.6980PMID:29914874
SPNCRNA.2739PMID:29914874
SPNCRNA.2738PMID:29914874
SPNCRNA.2737PMID:29914874
SPNCRNA.2736PMID:29914874
SPNCRNA.3174PMID:29914874
SPNCRNA.2755PMID:29914874
SPNCRNA.2774PMID:29914874
SPNCRNA.2765PMID:29914874
SPNCRNA.2773PMID:29914874
SPNCRNA.2772PMID:29914874
SPNCRNA.2771PMID:29914874
SPNCRNA.2770PMID:29914874
SPNCRNA.2769PMID:29914874
SPNCRNA.2768PMID:29914874
SPNCRNA.2767PMID:29914874
SPNCRNA.2766PMID:29914874
SPNCRNA.2764PMID:29914874
SPNCRNA.2756PMID:29914874
SPNCRNA.2763PMID:29914874
SPNCRNA.2762PMID:29914874
SPNCRNA.2761PMID:29914874
SPNCRNA.2760PMID:29914874
SPNCRNA.6979PMID:29914874
SPNCRNA.2759PMID:29914874
SPNCRNA.2758PMID:29914874
SPNCRNA.2757PMID:29914874
SPNCRNA.2814PMID:29914874
SPNCRNA.2816PMID:29914874
SPNCRNA.6969PMID:29914874
SPNCRNA.2817PMID:29914874
SPNCRNA.2876PMID:29914874
SPNCRNA.2875PMID:29914874
SPNCRNA.2874PMID:29914874
SPNCRNA.2873PMID:29914874
SPNCRNA.2872PMID:29914874
SPNCRNA.2871PMID:29914874
SPNCRNA.2870PMID:29914874
SPNCRNA.2869PMID:29914874
SPNCRNA.2868PMID:29914874
SPNCRNA.2867PMID:29914874
SPNCRNA.2866PMID:29914874
SPNCRNA.2865PMID:29914874
SPNCRNA.2864PMID:29914874
SPNCRNA.2863PMID:29914874
SPNCRNA.2862PMID:29914874
SPNCRNA.2861PMID:29914874
SPNCRNA.2860PMID:29914874
SPNCRNA.6970PMID:29914874
SPNCRNA.2859PMID:29914874
SPNCRNA.2877PMID:29914874
SPNCRNA.2878PMID:29914874
SPNCRNA.2879PMID:29914874
SPNCRNA.2890PMID:29914874
SPNCRNA.2898PMID:29914874
SPNCRNA.2897PMID:29914874
SPNCRNA.2896PMID:29914874
SPNCRNA.2895PMID:29914874
SPNCRNA.2894PMID:29914874
SPNCRNA.2893PMID:29914874
SPNCRNA.2892PMID:29914874
SPNCRNA.2891PMID:29914874
SPNCRNA.2889PMID:29914874
SPNCRNA.2880PMID:29914874
SPNCRNA.2888PMID:29914874
SPNCRNA.2887PMID:29914874
SPNCRNA.2886PMID:29914874
SPNCRNA.2885PMID:29914874
SPNCRNA.2884PMID:29914874
SPNCRNA.2883PMID:29914874
SPNCRNA.2882PMID:29914874
SPNCRNA.2881PMID:29914874
SPNCRNA.2858PMID:29914874
SPNCRNA.2857PMID:29914874
SPNCRNA.2856PMID:29914874
SPNCRNA.2826PMID:29914874
SPNCRNA.2833PMID:29914874
SPNCRNA.2832PMID:29914874
SPNCRNA.2831PMID:29914874
SPNCRNA.2830PMID:29914874
SPNCRNA.6972PMID:29914874
SPNCRNA.2829PMID:29914874
SPNCRNA.2828PMID:29914874
SPNCRNA.2827PMID:29914874
SPNCRNA.2825PMID:29914874
SPNCRNA.2835PMID:29914874
SPNCRNA.2824PMID:29914874
SPNCRNA.2823PMID:29914874
SPNCRNA.2822PMID:29914874
SPNCRNA.2821PMID:29914874
SPNCRNA.2820PMID:29914874
SPNCRNA.6973PMID:29914874
SPNCRNA.2819PMID:29914874
SPNCRNA.2818PMID:29914874
SPNCRNA.2834PMID:29914874
SPNCRNA.2836PMID:29914874
SPNCRNA.2855PMID:29914874
SPNCRNA.2846PMID:29914874
SPNCRNA.2854PMID:29914874
SPNCRNA.2853PMID:29914874
SPNCRNA.2852PMID:29914874
SPNCRNA.2851PMID:29914874
SPNCRNA.2850PMID:29914874
SPNCRNA.2849PMID:29914874
SPNCRNA.2848PMID:29914874
SPNCRNA.2847PMID:29914874
SPNCRNA.2845PMID:29914874
SPNCRNA.2837PMID:29914874
SPNCRNA.2844PMID:29914874
SPNCRNA.2843PMID:29914874
SPNCRNA.2842PMID:29914874
SPNCRNA.2841PMID:29914874
SPNCRNA.2840PMID:29914874
SPNCRNA.6971PMID:29914874
SPNCRNA.2839PMID:29914874
SPNCRNA.2838PMID:29914874
SPNCRNA.2735PMID:29914874
SPNCRNA.2734PMID:29914874
SPNCRNA.2733PMID:29914874
SPNCRNA.2732PMID:29914874
SPNCRNA.2630PMID:29914874
SPNCRNA.2629PMID:29914874
SPNCRNA.2628PMID:29914874
SPNCRNA.2627PMID:29914874
SPNCRNA.2626PMID:29914874
SPNCRNA.2625PMID:29914874
SPNCRNA.2624PMID:29914874
SPNCRNA.2623PMID:29914874
SPNCRNA.2622PMID:29914874
SPNCRNA.2621PMID:29914874
SPNCRNA.2620PMID:29914874
SPNCRNA.2619PMID:29914874
SPNCRNA.2618PMID:29914874
SPNCRNA.2617PMID:29914874
SPNCRNA.2616PMID:29914874
SPNCRNA.2615PMID:29914874
SPNCRNA.2614PMID:29914874
SPNCRNA.2613PMID:29914874
SPNCRNA.2612PMID:29914874
SPNCRNA.2631PMID:29914874
SPNCRNA.2632PMID:29914874
SPNCRNA.2633PMID:29914874
SPNCRNA.2643PMID:29914874
SPNCRNA.2651PMID:29914874
SPNCRNA.2650PMID:29914874
SPNCRNA.2649PMID:29914874
SPNCRNA.2648PMID:29914874
SPNCRNA.2647PMID:29914874
SPNCRNA.2646PMID:29914874
SPNCRNA.2645PMID:29914874
SPNCRNA.2644PMID:29914874
SPNCRNA.2642PMID:29914874
SPNCRNA.2634PMID:29914874
SPNCRNA.2641PMID:29914874
SPNCRNA.2640PMID:29914874
SPNCRNA.6989PMID:29914874
SPNCRNA.2639PMID:29914874
SPNCRNA.2638PMID:29914874
SPNCRNA.2637PMID:29914874
SPNCRNA.2636PMID:29914874
SPNCRNA.2635PMID:29914874
SPNCRNA.2611PMID:29914874
SPNCRNA.2610PMID:29914874
SPNCRNA.2609PMID:29914874
SPNCRNA.6992PMID:29914874
SPNCRNA.2587PMID:29914874
SPNCRNA.2586PMID:29914874
SPNCRNA.2585PMID:29914874
SPNCRNA.2584PMID:29914874
SPNCRNA.2583PMID:29914874
SPNCRNA.2582PMID:29914874
SPNCRNA.2581PMID:29914874
SPNCRNA.2580PMID:29914874
SPNCRNA.2579PMID:29914874
SPNCRNA.2589PMID:29914874
SPNCRNA.2578PMID:29914874
SPNCRNA.2577PMID:29914874
SPNCRNA.2576PMID:29914874
SPNCRNA.2575PMID:29914874
SPNCRNA.2574PMID:29914874
SPNCRNA.2573PMID:29914874
SPNCRNA.2572PMID:29914874
SPNCRNA.2571PMID:29914874
SPNCRNA.2588PMID:29914874
SPNCRNA.2590PMID:29914874
SPNCRNA.2608PMID:29914874
SPNCRNA.6990PMID:29914874
SPNCRNA.2607PMID:29914874
SPNCRNA.2606PMID:29914874
SPNCRNA.2605PMID:29914874
SPNCRNA.2604PMID:29914874
SPNCRNA.2603PMID:29914874
SPNCRNA.2602PMID:29914874
SPNCRNA.2601PMID:29914874
SPNCRNA.2600PMID:29914874
SPNCRNA.6991PMID:29914874
SPNCRNA.2591PMID:29914874
SPNCRNA.2599PMID:29914874
SPNCRNA.2598PMID:29914874
SPNCRNA.2597PMID:29914874
SPNCRNA.2596PMID:29914874
SPNCRNA.2595PMID:29914874
SPNCRNA.2594PMID:29914874
SPNCRNA.2593PMID:29914874
SPNCRNA.2592PMID:29914874
SPNCRNA.2652PMID:29914874
SPNCRNA.2653PMID:29914874
SPNCRNA.2654PMID:29914874
SPNCRNA.2703PMID:29914874
SPNCRNA.2710PMID:29914874
SPNCRNA.6982PMID:29914874
SPNCRNA.2709PMID:29914874
SPNCRNA.2708PMID:29914874
SPNCRNA.2707PMID:29914874
SPNCRNA.2706PMID:29914874
SPNCRNA.2705PMID:29914874
SPNCRNA.2704PMID:29914874
SPNCRNA.2702PMID:29914874
SPNCRNA.2712PMID:29914874
SPNCRNA.2701PMID:29914874
SPNCRNA.2700PMID:29914874
SPNCRNA.6983PMID:29914874
SPNCRNA.6984PMID:29914874
SPNCRNA.2699PMID:29914874
SPNCRNA.2698PMID:29914874
SPNCRNA.2697PMID:29914874
SPNCRNA.2696PMID:29914874
SPNCRNA.2711PMID:29914874
SPNCRNA.2713PMID:29914874
SPNCRNA.2694PMID:29914874
SPNCRNA.2724PMID:29914874
SPNCRNA.2731PMID:29914874
SPNCRNA.2730PMID:29914874
SPNCRNA.6981PMID:29914874
SPNCRNA.2729PMID:29914874
SPNCRNA.2728PMID:29914874
SPNCRNA.2727PMID:29914874
SPNCRNA.2726PMID:29914874
SPNCRNA.2725PMID:29914874
SPNCRNA.2723PMID:29914874
SPNCRNA.2714PMID:29914874
SPNCRNA.2722PMID:29914874
SPNCRNA.2721PMID:29914874
SPNCRNA.2720PMID:29914874
SPNCRNA.2719PMID:29914874
SPNCRNA.2718PMID:29914874
SPNCRNA.2717PMID:29914874
SPNCRNA.2716PMID:29914874
SPNCRNA.2715PMID:29914874
SPNCRNA.2695PMID:29914874
SPNCRNA.2693PMID:29914874
SPNCRNA.2655PMID:29914874
SPNCRNA.2664PMID:29914874
SPNCRNA.2671PMID:29914874
SPNCRNA.2670PMID:29914874
SPNCRNA.6987PMID:29914874
SPNCRNA.2669PMID:29914874
SPNCRNA.2668PMID:29914874
SPNCRNA.2667PMID:29914874
SPNCRNA.2666PMID:29914874
SPNCRNA.2665PMID:29914874
SPNCRNA.2663PMID:29914874
SPNCRNA.2673PMID:29914874
SPNCRNA.2662PMID:29914874
SPNCRNA.2661PMID:29914874
SPNCRNA.2660PMID:29914874
SPNCRNA.6988PMID:29914874
SPNCRNA.2659PMID:29914874
SPNCRNA.2658PMID:29914874
SPNCRNA.2657PMID:29914874
SPNCRNA.2656PMID:29914874
SPNCRNA.2672PMID:29914874
SPNCRNA.2674PMID:29914874
SPNCRNA.2692PMID:29914874
SPNCRNA.2684PMID:29914874
SPNCRNA.2691PMID:29914874
SPNCRNA.2690PMID:29914874
SPNCRNA.6985PMID:29914874
SPNCRNA.2689PMID:29914874
SPNCRNA.2688PMID:29914874
SPNCRNA.2687PMID:29914874
SPNCRNA.2686PMID:29914874
SPNCRNA.2685PMID:29914874
SPNCRNA.2683PMID:29914874
SPNCRNA.2675PMID:29914874
SPNCRNA.2682PMID:29914874
SPNCRNA.2681PMID:29914874
SPNCRNA.2680PMID:29914874
SPNCRNA.6986PMID:29914874
SPNCRNA.2679PMID:29914874
SPNCRNA.2678PMID:29914874
SPNCRNA.2677PMID:29914874
SPNCRNA.2676PMID:29914874
SPNCRNA.2899PMID:29914874
SPNCRNA.2753PMID:29914874
SPNCRNA.3085PMID:29914874
SPNCRNA.3039PMID:29914874
SPNCRNA.3142PMID:29914874
SPNCRNA.3051PMID:29914874
SPNCRNA.3050PMID:29914874
SPNCRNA.6958PMID:29914874
SPNCRNA.3049PMID:29914874
SPNCRNA.3048PMID:29914874
SPNCRNA.3047PMID:29914874
SPNCRNA.3046PMID:29914874
SPNCRNA.3143PMID:29914874
SPNCRNA.3045PMID:29914874
SPNCRNA.3044PMID:29914874
SPNCRNA.3043PMID:29914874
SPNCRNA.3042PMID:29914874
SPNCRNA.3041PMID:29914874
SPNCRNA.3040PMID:29914874
SPNCRNA.3141PMID:29914874
SPNCRNA.3140PMID:29914874
SPNCRNA.3052PMID:29914874
SPNCRNA.6957PMID:29914874
SPNCRNA.3063PMID:29914874
SPNCRNA.3062PMID:29914874
SPNCRNA.3137PMID:29914874
SPNCRNA.3061PMID:29914874
SPNCRNA.3060PMID:29914874
SPNCRNA.3138PMID:29914874
SPNCRNA.3059PMID:29914874
SPNCRNA.3139PMID:29914874
SPNCRNA.3058PMID:29914874
SPNCRNA.3057PMID:29914874
SPNCRNA.3056PMID:29914874
SPNCRNA.3055PMID:29914874
SPNCRNA.3054PMID:29914874
SPNCRNA.3053PMID:29914874
SPNCRNA.6959PMID:29914874
SPNCRNA.3038PMID:29914874
SPNCRNA.3065PMID:29914874
SPNCRNA.3037PMID:29914874
SPNCRNA.3018PMID:29914874
SPNCRNA.3017PMID:29914874
SPNCRNA.3016PMID:29914874
SPNCRNA.3015PMID:29914874
SPNCRNA.3014PMID:29914874
SPNCRNA.3013PMID:29914874
SPNCRNA.3012PMID:29914874
SPNCRNA.3011PMID:29914874
SPNCRNA.3010PMID:29914874
SPNCRNA.2900PMID:29914874
SPNCRNA.3009PMID:29914874
SPNCRNA.3119PMID:29914874
SPNCRNA.3007PMID:29914874
SPNCRNA.3006PMID:29914874
SPNCRNA.3005PMID:29914874
SPNCRNA.3019PMID:29914874
SPNCRNA.3020PMID:29914874
SPNCRNA.3021PMID:29914874
SPNCRNA.3030PMID:29914874
SPNCRNA.3036PMID:29914874
SPNCRNA.3035PMID:29914874
SPNCRNA.3034PMID:29914874
SPNCRNA.3033PMID:29914874
SPNCRNA.3032PMID:29914874
SPNCRNA.3031PMID:29914874
SPNCRNA.3029PMID:29914874
SPNCRNA.3022PMID:29914874
SPNCRNA.3028PMID:29914874
SPNCRNA.3027PMID:29914874
SPNCRNA.3026PMID:29914874
SPNCRNA.3025PMID:29914874
SPNCRNA.3024PMID:29914874
SPNCRNA.3023PMID:29914874
SPNCRNA.3064PMID:29914874
SPNCRNA.3066PMID:29914874
SPNCRNA.3003PMID:29914874
SPNCRNA.3095PMID:29914874
SPNCRNA.3107PMID:29914874
SPNCRNA.3106PMID:29914874
SPNCRNA.3105PMID:29914874
SPNCRNA.3104PMID:29914874
SPNCRNA.3103PMID:29914874
SPNCRNA.3102PMID:29914874
SPNCRNA.3101PMID:29914874
SPNCRNA.3127PMID:29914874
SPNCRNA.3100PMID:29914874
SPNCRNA.3128PMID:29914874
SPNCRNA.6955PMID:29914874
SPNCRNA.3099PMID:29914874
SPNCRNA.3129PMID:29914874
SPNCRNA.3098PMID:29914874
SPNCRNA.3097PMID:29914874
SPNCRNA.3108PMID:29914874
SPNCRNA.3126PMID:29914874
SPNCRNA.3125PMID:29914874
SPNCRNA.3115PMID:29914874
SPNCRNA.6953PMID:29914874
SPNCRNA.3120PMID:29914874
SPNCRNA.3121PMID:29914874
SPNCRNA.3122PMID:29914874
SPNCRNA.3117PMID:29914874
SPNCRNA.3116PMID:29914874
SPNCRNA.3114PMID:29914874
SPNCRNA.3124PMID:29914874
SPNCRNA.3113PMID:29914874
SPNCRNA.3111PMID:29914874
SPNCRNA.3110PMID:29914874
SPNCRNA.6954PMID:29914874
SPNCRNA.3109PMID:29914874
SPNCRNA.3123PMID:29914874
SPNCRNA.3096PMID:29914874
SPNCRNA.3094PMID:29914874
SPNCRNA.3067PMID:29914874
SPNCRNA.6952PMID:29914874
SPNCRNA.3078PMID:29914874
SPNCRNA.3077PMID:29914874
SPNCRNA.3076PMID:29914874
SPNCRNA.3134PMID:29914874
SPNCRNA.3075PMID:29914874
SPNCRNA.3074PMID:29914874
SPNCRNA.3073PMID:29914874
SPNCRNA.3072PMID:29914874
SPNCRNA.3135PMID:29914874
SPNCRNA.3071PMID:29914874
SPNCRNA.3070PMID:29914874
SPNCRNA.6956PMID:29914874
SPNCRNA.3069PMID:29914874
SPNCRNA.3136PMID:29914874
SPNCRNA.3068PMID:29914874
SPNCRNA.3079PMID:29914874
SPNCRNA.3080PMID:29914874
SPNCRNA.3133PMID:29914874
SPNCRNA.3088PMID:29914874
SPNCRNA.3093PMID:29914874
SPNCRNA.3092PMID:29914874
SPNCRNA.3091PMID:29914874
SPNCRNA.3130PMID:29914874
SPNCRNA.3090PMID:29914874
SPNCRNA.3089PMID:29914874
SPNCRNA.3087PMID:29914874
SPNCRNA.3081PMID:29914874
SPNCRNA.3086PMID:29914874
SPNCRNA.3131PMID:29914874
SPNCRNA.3132PMID:29914874
SPNCRNA.3084PMID:29914874
SPNCRNA.3083PMID:29914874
SPNCRNA.3082PMID:29914874
SPNCRNA.3004PMID:29914874
SPNCRNA.3008PMID:29914874
SPNCRNA.3002PMID:29914874
SPNCRNA.3166PMID:29914874
SPNCRNA.2941PMID:29914874
SPNCRNA.2940PMID:29914874
SPNCRNA.3165PMID:29914874
SPNCRNA.6965PMID:29914874
SPNCRNA.2939PMID:29914874
SPNCRNA.2938PMID:29914874
SPNCRNA.2937PMID:29914874
SPNCRNA.2936PMID:29914874
SPNCRNA.2958PMID:29914874
SPNCRNA.2935PMID:29914874
SPNCRNA.2934PMID:29914874
SPNCRNA.2933PMID:29914874
SPNCRNA.2932PMID:29914874
SPNCRNA.3167PMID:29914874
SPNCRNA.2931PMID:29914874
SPNCRNA.2930PMID:29914874
SPNCRNA.2942PMID:29914874
SPNCRNA.2943PMID:29914874
SPNCRNA.2944PMID:29914874
SPNCRNA.2945PMID:29914874
SPNCRNA.2957PMID:29914874
SPNCRNA.2956PMID:29914874
SPNCRNA.3162PMID:29914874
SPNCRNA.2955PMID:29914874
SPNCRNA.2954PMID:29914874
SPNCRNA.2953PMID:29914874
SPNCRNA.2952PMID:29914874
SPNCRNA.2951PMID:29914874
SPNCRNA.2950PMID:29914874
SPNCRNA.2949PMID:29914874
SPNCRNA.3163PMID:29914874
SPNCRNA.2948PMID:29914874
SPNCRNA.2947PMID:29914874
SPNCRNA.2946PMID:29914874
SPNCRNA.3164PMID:29914874
SPNCRNA.6966PMID:29914874
SPNCRNA.2929PMID:29914874
SPNCRNA.2928PMID:29914874
SPNCRNA.2914PMID:29914874
SPNCRNA.2912PMID:29914874
SPNCRNA.2911PMID:29914874
SPNCRNA.2910PMID:29914874
SPNCRNA.6968PMID:29914874
SPNCRNA.3172PMID:29914874
SPNCRNA.3173PMID:29914874
SPNCRNA.2909PMID:29914874
SPNCRNA.2908PMID:29914874
SPNCRNA.2907PMID:29914874
SPNCRNA.2906PMID:29914874
SPNCRNA.2905PMID:29914874
SPNCRNA.2904PMID:29914874
SPNCRNA.2903PMID:29914874
SPNCRNA.2902PMID:29914874
SPNCRNA.2901PMID:29914874
SPNCRNA.2913PMID:29914874
SPNCRNA.2915PMID:29914874
SPNCRNA.3168PMID:29914874
SPNCRNA.2916PMID:29914874
SPNCRNA.2927PMID:29914874
SPNCRNA.2926PMID:29914874
SPNCRNA.2925PMID:29914874
SPNCRNA.3169PMID:29914874
SPNCRNA.2924PMID:29914874
SPNCRNA.2923PMID:29914874
SPNCRNA.2922PMID:29914874
SPNCRNA.2921PMID:29914874
SPNCRNA.2920PMID:29914874
SPNCRNA.6967PMID:29914874
SPNCRNA.2919PMID:29914874
SPNCRNA.3170PMID:29914874
SPNCRNA.2918PMID:29914874
SPNCRNA.2917PMID:29914874
SPNCRNA.3171PMID:29914874
SPNCRNA.3001PMID:29914874
SPNCRNA.3161PMID:29914874
SPNCRNA.2959PMID:29914874
SPNCRNA.2985PMID:29914874
SPNCRNA.2989PMID:29914874
SPNCRNA.2988PMID:29914874
SPNCRNA.2987PMID:29914874
SPNCRNA.3149PMID:29914874
SPNCRNA.6951PMID:29914874
SPNCRNA.2986PMID:29914874
SPNCRNA.2984PMID:29914874
SPNCRNA.3147PMID:29914874
SPNCRNA.2983PMID:29914874
SPNCRNA.2982PMID:29914874
SPNCRNA.2981PMID:29914874
SPNCRNA.3150PMID:29914874
SPNCRNA.3151PMID:29914874
SPNCRNA.6964PMID:29914874
SPNCRNA.3148PMID:29914874
SPNCRNA.2990PMID:29914874
SPNCRNA.3152PMID:29914874
SPNCRNA.2998PMID:29914874
SPNCRNA.3144PMID:29914874
SPNCRNA.3000PMID:29914874
SPNCRNA.6960PMID:29914874
SPNCRNA.6961PMID:29914874
SPNCRNA.3145PMID:29914874
SPNCRNA.2999PMID:29914874
SPNCRNA.2997PMID:29914874
SPNCRNA.2991PMID:29914874
SPNCRNA.2996PMID:29914874
SPNCRNA.2995PMID:29914874
SPNCRNA.2994PMID:29914874
SPNCRNA.3146PMID:29914874
SPNCRNA.2993PMID:29914874
SPNCRNA.2992PMID:29914874
SPNCRNA.6962PMID:29914874
SPNCRNA.2980PMID:29914874
SPNCRNA.2979PMID:29914874
SPNCRNA.2970PMID:29914874
SPNCRNA.2969PMID:29914874
SPNCRNA.2968PMID:29914874
SPNCRNA.3157PMID:29914874
SPNCRNA.3158PMID:29914874
SPNCRNA.2967PMID:29914874
SPNCRNA.2966PMID:29914874
SPNCRNA.2965PMID:29914874
SPNCRNA.3159PMID:29914874
SPNCRNA.2964PMID:29914874
SPNCRNA.6950PMID:29914874
SPNCRNA.2963PMID:29914874
SPNCRNA.2962PMID:29914874
SPNCRNA.2961PMID:29914874
SPNCRNA.3160PMID:29914874
SPNCRNA.2960PMID:29914874
SPNCRNA.3156PMID:29914874
SPNCRNA.6963PMID:29914874
SPNCRNA.2973PMID:29914874
SPNCRNA.3153PMID:29914874
SPNCRNA.2978PMID:29914874
SPNCRNA.2977PMID:29914874
SPNCRNA.2976PMID:29914874
SPNCRNA.2975PMID:29914874
SPNCRNA.2974PMID:29914874
SPNCRNA.3155PMID:29914874
SPNCRNA.2972PMID:29914874
SPNCRNA.3118PMID:29914874
SPNCRNA.2971PMID:29914874
SPNCRNA.3154PMID:29914874
SPNCRNA.9001prt2SPBC8E4.02c replaced by SPNCRNA.9001 (prt2)PMID:29414789
SPMITNCRNA.01rnpBPMID:29954949
SPNCRNA.1712nc-pho1
SPNCRNA.1710PMID:23223230
SPNCRNA.1709EMBL:BK009173
SPNCRNA.1703prl105name prl105; synonym prl5PMID:28031482
SPNCRNA.1705prl108name prl108; synonym prl8PMID:28031482
SPNCRNA.1704prl107name prl107; synonym prl7PMID:28031482
SPNCRNA.1702prl104name prl104; synonym prl4PMID:28031482
SPNCRNA.1706prl106name prl106; synonym prl6PMID:28031482
SPNCRNA.1708prl103name prl103; synonym prl3. name rnpBPMID:28031482,PMID:29954949
SPNCRNA.1701prl101name prl101; synonym prl1PMID:28031482
SPNCRNA.1698nc-tgp1
SPRPTC.14
SPNCRNA.2002PMID:29914874
SPNCRNA.2001PMID:29914874
SPRPTCENC.16dh3.6
SPRPTCENC.15
SPRPTCENC.14imr3R
SPRPTCENC.13cnt3
SPRPTCENC.12imr3L
SPRPTA.9
SPRPTCENB.4dh2.2
SPRPTCENC.11
SPRPTCENC.10dh3.5
SPRPTCENC.1dh3.1
SPRPTCENB.5
SPRPTCENC.18dg3.4
SPRPTA.10
SPRPTA.11
SPRPTCENB.3dh2.1
SPRPTCENC.17
SPRPTCENC.23
SPRPTCENC.19dh3.7
SPRPTCENC.28dh3.10
SPRPTB.10
SPRPTCENC.8
SPRPTCENC.7dg3.3
SPRPTCENC.6dh3.3
SPRPTCENC.5dg3.2
SPRPTCENC.4dh3.2
SPRPTCENC.3
SPRPTCENC.27dg3.7
SPRPTCENC.2dg3.1
SPRPTCENC.26
SPRPTCENC.25dh3.9
SPRPTCENC.24dg3.6
SPRPTCENB.2
SPRPTCENC.22dh3.8
SPRPTCENC.21dg3.5
SPRPTCENC.20
SPRPTA.12
SPRPTCENC.9dh3.4
SPRPTA.13
SPRPTA.5
SPRPTCENA.10
SPRPTC.9
SPRPTA.20
SPRPTA.27
SPRPTC.3
SPRPTCENB.17dg2.2
SPRPTC.13
SPRPTC.12
SPRPTC.11
SPRPTC.10
SPRPTCENA.2
SPRPTC.1
SPRPTB.9
SPRPTB.8
SPRPTA.8
SPRPTA.6
SPRPTB.14
SPRPTA.7
SPRPTB.7
SPRPTB.15
SPRPTA.17
SPRPTA.18
SPRPTA.15
SPRPTCENA.9dh1.2
SPRPTB.13
SPRPTA.14
SPRPTCENA.8dg1.2
SPRPTCENB.10imr2R
SPRPTCENA.7imr1R
SPRPTCENB.11cnt2.1
SPRPTA.16
SPRPTCENA.6cnt1
SPRPTCENB.13imr2L
SPRPTCENB.14dh2.3
SPRPTCENA.5imr1L
SPRPTCENB.15dh2.4
SPRPTCENA.4dg1.1
SPRPTCENB.16
SPRPTCENA.3dh1.1
SPRPTCENB.1dg2.1
SPBTRNAASP.05
SPNCRNA.916PMID:21511999,PMID:29914874
SPNCRNA.919PMID:21511999,PMID:29914874
SPNCRNA.923PMID:21511999,PMID:29914874
SPNCRNA.922PMID:21511999,PMID:29914874
SPNCRNA.921PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.924PMID:21511999,PMID:29914874
SPNCRNA.917PMID:21511999,PMID:29914874
SPNCRNA.925PMID:21511999,PMID:29914874
SPNCRNA.918PMID:21511999,PMID:29914874
SPNCRNA.926PMID:21511999,PMID:29914874
SPNCRNA.920PMID:21511999,PMID:29914874
SPNCRNA.932PMID:21511999,PMID:29914874
SPNCRNA.927PMID:21511999,PMID:29914874
SPNCRNA.928meu16
SPNCRNA.929PMID:21511999,PMID:29914874
SPNCRNA.930PMID:21511999,PMID:29914874
SPNCRNA.931PMID:21511999,PMID:29914874
SPNCRNA.914PMID:21511999,PMID:29914874
SPNCRNA.933PMID:21511999,PMID:29914874
SPNCRNA.934PMID:21511999,PMID:29914874
SPNCRNA.935PMID:21511999,PMID:29914874
SPNCRNA.936PMID:21511999,PMID:29914874
SPNCRNA.937PMID:21511999,PMID:29914874
SPNCRNA.938PMID:21511999,PMID:29914874
SPNCRNA.915PMID:21511999,PMID:29914874
SPNCRNA.895PMID:21511999,PMID:29914874
SPNCRNA.913PMID:21511999,PMID:29914874
SPNCRNA.912PMID:21511999,PMID:29914874
SPNCRNA.883PMID:21511999,PMID:29914874
SPNCRNA.885PMID:21511999,PMID:29914874
SPNCRNA.886PMID:21511999,PMID:29914874
SPNCRNA.887PMID:21511999,PMID:29914874
SPNCRNA.888PMID:21511999,PMID:29914874
SPNCRNA.889PMID:21511999,PMID:29914874
SPNCRNA.890PMID:21511999,PMID:29914874
SPNCRNA.891PMID:21511999,PMID:29914874
SPNCRNA.892PMID:21511999,PMID:29914874
SPNCRNA.894PMID:21511999,PMID:29914874
SPNCRNA.940PMID:21511999,PMID:29914874
SPNCRNA.896PMID:21511999,PMID:29914874
SPNCRNA.897PMID:21511999,PMID:29914874
SPNCRNA.898PMID:21511999,PMID:29914874
SPNCRNA.899PMID:21511999,PMID:29914874
SPNCRNA.900PMID:21511999,PMID:29914874
SPNCRNA.901PMID:21511999,PMID:29914874
SPNCRNA.902PMID:21511999,PMID:29914874
SPNCRNA.903PMID:21511999,PMID:29914874
SPNCRNA.904PMID:21511999,PMID:29914874
SPNCRNA.905PMID:21511999,PMID:29914874
SPNCRNA.907PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.908PMID:21511999,PMID:29914874
SPNCRNA.909PMID:21511999,PMID:29914874
SPNCRNA.910PMID:21511999,PMID:29914874
SPNCRNA.939PMID:21511999,PMID:29914874
SPNCRNA.961PMID:21511999,PMID:29914874
SPNCRNA.941PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.987PMID:21511999,PMID:29914874
SPNCRNA.975PMID:21511999,PMID:29914874
SPNCRNA.976PMID:21511999,PMID:29914874
SPNCRNA.977PMID:21511999,PMID:29914874
SPNCRNA.978PMID:21511999,PMID:29914874
SPNCRNA.979PMID:21511999,PMID:29914874
SPNCRNA.980PMID:21511999,PMID:29914874
SPNCRNA.981PMID:21511999,PMID:29914874
SPNCRNA.982PMID:21511999,PMID:29914874
SPNCRNA.983PMID:21511999,PMID:29914874
SPNCRNA.984PMID:21511999,PMID:29914874
SPNCRNA.985PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.986PMID:21511999,PMID:29914874
SPNCRNA.988PMID:21511999,PMID:29914874
SPNCRNA.942PMID:18641648
SPNCRNA.989PMID:21511999,PMID:29914874
SPNCRNA.990PMID:21511999,PMID:29914874
SPNCRNA.991PMID:21511999,PMID:29914874
SPNCRNA.880PMID:21511999,PMID:29914874
SPNCRNA.992PMID:21511999,PMID:29914874
SPNCRNA.993PMID:21511999,PMID:29914874
SPNCRNA.995PMID:21511999,PMID:29914874
SPNCRNA.996PMID:21511999,PMID:29914874
SPNCRNA.997PMID:21511999,PMID:29914874
SPNCRNA.998PMID:21511999,PMID:29914874
SPNCRNA.999PMID:21511999,PMID:29914874
SPNCRNA.671PMID:21511999,PMID:29914874
SPNCRNA.974PMID:21511999,PMID:29914874
SPNCRNA.973PMID:21511999,PMID:29914874
SPNCRNA.972PMID:21511999,PMID:29914874
SPNCRNA.971PMID:21511999,PMID:29914874
SPNCRNA.943PMID:21511999,PMID:29914874
SPNCRNA.672PMID:21511999,PMID:29914874
SPNCRNA.944PMID:21511999,PMID:29914874
SPNCRNA.945PMID:21511999,PMID:29914874
SPNCRNA.946PMID:21511999,PMID:29914874
SPNCRNA.947PMID:21511999,PMID:29914874
SPNCRNA.948PMID:21511999,PMID:29914874
SPNCRNA.949PMID:21511999,PMID:29914874
SPNCRNA.950PMID:21511999,PMID:29914874
SPNCRNA.952PMID:21511999,PMID:29914874
SPNCRNA.953PMID:21511999,PMID:29914874
SPNCRNA.954PMID:21511999,PMID:29914874
SPNCRNA.955PMID:21511999,PMID:29914874
SPNCRNA.956PMID:21511999,PMID:29914874
SPNCRNA.957PMID:21511999,PMID:29914874
SPNCRNA.959PMID:21511999,PMID:29914874
SPNCRNA.960PMID:21511999,PMID:29914874
SPNCRNA.963PMID:21511999,PMID:29914874
SPNCRNA.964PMID:21511999,PMID:29914874
SPNCRNA.965PMID:21511999,PMID:29914874
SPNCRNA.966PMID:21511999,PMID:29914874
SPNCRNA.967PMID:21511999,PMID:29914874
SPNCRNA.968PMID:21511999,PMID:29914874
SPNCRNA.969PMID:21511999,PMID:29914874
SPNCRNA.970PMID:21511999,PMID:29914874
SPNCRNA.881PMID:21511999,PMID:29914874
SPNCRNA.741PMID:21511999,PMID:29914874
SPNCRNA.879PMID:21511999,PMID:29914874
SPNCRNA.686PMID:21511999,PMID:29914874
SPNCRNA.703PMID:21511999,PMID:29914874
SPNCRNA.769PMID:21511999,PMID:29914874
SPNCRNA.717PMID:21511999,PMID:29914874
SPNCRNA.678PMID:21511999,PMID:29914874
SPNCRNA.682PMID:21511999,PMID:29914874
SPNCRNA.683PMID:21511999,PMID:29914874
SPNCRNA.768PMID:21511999,PMID:29914874
SPNCRNA.718PMID:21511999,PMID:29914874
SPNCRNA.767PMID:21511999,PMID:29914874
SPNCRNA.700PMID:21511999,PMID:29914874
SPNCRNA.766PMID:21511999,PMID:29914874
SPNCRNA.761PMID:21511999,PMID:29914874
SPNCRNA.719PMID:21511999,PMID:29914874
SPNCRNA.690PMID:21511999,PMID:29914874
SPNCRNA.765PMID:21511999,PMID:29914874
SPNCRNA.720PMID:21511999,PMID:29914874
SPNCRNA.764PMID:21511999,PMID:29914874
SPNCRNA.721PMID:21511999,PMID:29914874
SPNCRNA.763PMID:21511999,PMID:29914874
SPNCRNA.692PMID:21511999,PMID:29914874
SPNCRNA.722PMID:21511999,PMID:29914874
SPNCRNA.762PMID:21511999,PMID:29914874
SPNCRNA.716PMID:21511999,PMID:29914874
SPNCRNA.770PMID:21511999,PMID:29914874
SPNCRNA.715PMID:21511999,PMID:29914874
SPNCRNA.704PMID:21511999,PMID:29914874
SPNCRNA.708PMID:21511999,PMID:29914874
SPNCRNA.777PMID:21511999,PMID:29914874
SPNCRNA.695PMID:21511999,PMID:29914874
SPNCRNA.710PMID:21511999,PMID:29914874
SPNCRNA.776PMID:21511999,PMID:29914874
SPNCRNA.707PMID:21511999,PMID:29914874
SPNCRNA.711PMID:21511999,PMID:29914874
SPNCRNA.775PMID:21511999,PMID:29914874
SPNCRNA.679PMID:21511999,PMID:29914874
SPNCRNA.706PMID:21511999,PMID:29914874
SPNCRNA.712PMID:21511999,PMID:29914874
SPNCRNA.774PMID:21511999,PMID:29914874
SPNCRNA.699PMID:21511999,PMID:29914874
SPNCRNA.705PMID:21511999,PMID:29914874
SPNCRNA.773PMID:21511999,PMID:29914874
SPNCRNA.713PMID:21511999,PMID:29914874
SPNCRNA.772PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.714PMID:21511999,PMID:29914874
SPNCRNA.687PMID:21511999,PMID:29914874
SPNCRNA.771PMID:21511999,PMID:29914874
SPNCRNA.674PMID:21511999,PMID:29914874
SPNCRNA.723PMID:21511999,PMID:29914874
SPNCRNA.724PMID:21511999,PMID:29914874
SPNCRNA.878PMID:21511999,PMID:29914874
SPNCRNA.736PMID:21511999,PMID:29914874
SPNCRNA.750PMID:21511999,PMID:29914874
SPNCRNA.685PMID:21511999,PMID:29914874
SPNCRNA.701PMID:21511999,PMID:29914874
SPNCRNA.684PMID:21511999,PMID:29914874
SPNCRNA.749PMID:21511999,PMID:29914874
SPNCRNA.734PMID:21511999,PMID:29914874
SPNCRNA.702PMID:21511999,PMID:29914874
SPNCRNA.748PMID:21511999,PMID:29914874
SPNCRNA.735PMID:21511999,PMID:29914874
SPNCRNA.747PMID:21511999,PMID:29914874
SPNCRNA.746PMID:21511999,PMID:29914874
SPNCRNA.675PMID:21511999,PMID:29914874
SPNCRNA.737PMID:21511999,PMID:29914874
SPNCRNA.745PMID:21511999,PMID:29914874
SPNCRNA.738PMID:21511999,PMID:29914874
SPNCRNA.697PMID:21511999,PMID:29914874
SPNCRNA.744PMID:21511999,PMID:29914874
SPNCRNA.739PMID:21511999,PMID:29914874
SPNCRNA.743PMID:21511999,PMID:29914874
SPNCRNA.740PMID:21511999,PMID:29914874
SPNCRNA.677PMID:21511999,PMID:29914874
SPNCRNA.742PMID:21511999,PMID:29914874
SPNCRNA.676PMID:21511999,PMID:29914874
SPNCRNA.733PMID:21511999,PMID:29914874
SPNCRNA.751PMID:21511999,PMID:29914874
SPNCRNA.732PMID:21511999,PMID:29914874
SPNCRNA.760PMID:21511999,PMID:29914874
SPNCRNA.694PMID:21511999,PMID:29914874
SPNCRNA.680PMID:21511999,PMID:29914874
SPNCRNA.725PMID:21511999,PMID:29914874
SPNCRNA.759PMID:21511999,PMID:29914874
SPNCRNA.758PMID:21511999,PMID:29914874
SPNCRNA.726PMID:21511999,PMID:29914874
SPNCRNA.698PMID:21511999,PMID:29914874
SPNCRNA.757PMID:21511999,PMID:29914874
SPNCRNA.756PMID:21511999,PMID:29914874
SPNCRNA.728PMID:21511999,PMID:29914874
SPNCRNA.755PMID:21511999,PMID:29914874
SPNCRNA.696PMID:21511999,PMID:29914874
SPNCRNA.754PMID:21511999,PMID:29914874
SPNCRNA.730PMID:21511999,PMID:29914874
SPNCRNA.753PMID:21511999,PMID:29914874
SPNCRNA.731PMID:21511999,PMID:29914874
SPNCRNA.689PMID:21511999,PMID:29914874
SPNCRNA.688PMID:21511999,PMID:29914874
SPNCRNA.752PMID:21511999,PMID:29914874
SPNCRNA.693PMID:21511999,PMID:29914874
SPNCRNA.709PMID:21511999,PMID:29914874
SPNCRNA.778PMID:21511999,PMID:29914874
SPNCRNA.779PMID:21511999,PMID:29914874
SPNCRNA.841PMID:21511999,PMID:29914874
SPNCRNA.851PMID:21511999,PMID:29914874
SPNCRNA.850PMID:21511999,PMID:29914874
SPNCRNA.849PMID:21511999,PMID:29914874
SPNCRNA.848PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.847PMID:21511999,PMID:29914874
SPNCRNA.846PMID:21511999,PMID:29914874
SPNCRNA.845PMID:21511999,PMID:29914874
SPNCRNA.844PMID:21511999,PMID:29914874
SPNCRNA.843PMID:21511999,PMID:29914874
SPNCRNA.842PMID:21511999,PMID:29914874
SPNCRNA.840PMID:21511999,PMID:29914874
SPNCRNA.780PMID:21511999,PMID:29914874
SPNCRNA.839PMID:21511999,PMID:29914874
SPNCRNA.838PMID:21511999,PMID:29914874
SPNCRNA.837PMID:21511999,PMID:29914874
SPNCRNA.836PMID:21511999,PMID:29914874
SPNCRNA.835PMID:21511999,PMID:29914874
SPNCRNA.834PMID:21511999,PMID:29914874
SPNCRNA.833PMID:21511999,PMID:29914874
SPNCRNA.832PMID:21511999,PMID:29914874
SPNCRNA.831PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.830PMID:21511999,PMID:29914874
SPNCRNA.852PMID:21511999,PMID:29914874
SPNCRNA.853PMID:21511999,PMID:29914874
SPNCRNA.854PMID:21511999,PMID:29914874
SPNCRNA.855PMID:21511999,PMID:29914874
SPNCRNA.877PMID:21511999,PMID:29914874
SPNCRNA.876PMID:21511999,PMID:29914874
SPNCRNA.875PMID:21511999,PMID:29914874
SPNCRNA.874PMID:21511999,PMID:29914874
SPNCRNA.873PMID:21511999,PMID:29914874
SPNCRNA.872PMID:21511999,PMID:29914874
SPNCRNA.871PMID:21511999,PMID:29914874
SPNCRNA.870PMID:21511999,PMID:29914874
SPNCRNA.869PMID:21511999,PMID:29914874
SPNCRNA.868PMID:21511999,PMID:29914874
SPNCRNA.867PMID:21511999,PMID:29914874
SPNCRNA.866PMID:21511999,PMID:29914874
SPNCRNA.865PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.864PMID:21511999,PMID:29914874
SPNCRNA.863PMID:21511999,PMID:29914874
SPNCRNA.862PMID:21511999,PMID:29914874
SPNCRNA.861PMID:21511999,PMID:29914874
SPNCRNA.859PMID:21511999,PMID:29914874
SPNCRNA.858PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.857PMID:21511999,PMID:29914874
SPNCRNA.856PMID:21511999,PMID:29914874
SPNCRNA.829PMID:21511999,PMID:29914874
SPNCRNA.828PMID:21511999,PMID:29914874
SPNCRNA.827PMID:21511999,PMID:29914874
SPNCRNA.803PMID:21511999,PMID:29914874
SPNCRNA.801PMID:21511999,PMID:29914874
SPNCRNA.800PMID:21511999,PMID:29914874
SPNCRNA.799PMID:21511999,PMID:29914874
SPNCRNA.798PMID:21511999,PMID:29914874
SPNCRNA.797PMID:21511999,PMID:29914874
SPNCRNA.796PMID:21511999,PMID:29914874
SPNCRNA.795PMID:21511999,PMID:29914874
SPNCRNA.794PMID:21511999,PMID:29914874
SPNCRNA.793PMID:21511999,PMID:29914874
SPNCRNA.792PMID:21511999,PMID:29914874
SPNCRNA.791PMID:21511999,PMID:29914874
SPNCRNA.790PMID:21511999,PMID:29914874
SPNCRNA.789PMID:21511999,PMID:29914874
SPNCRNA.788PMID:21511999,PMID:29914874
SPNCRNA.787PMID:21511999,PMID:29914874
SPNCRNA.786PMID:21511999,PMID:29914874
SPNCRNA.785PMID:21511999,PMID:29914874
SPNCRNA.784PMID:21511999,PMID:29914874
SPNCRNA.783PMID:21511999,PMID:29914874
SPNCRNA.782PMID:21511999,PMID:29914874
SPNCRNA.781PMID:21511999,PMID:29914874
SPNCRNA.802PMID:21511999,PMID:29914874
SPNCRNA.804PMID:21511999,PMID:29914874
SPNCRNA.826PMID:21511999,PMID:29914874
SPNCRNA.805PMID:21511999,PMID:29914874
SPNCRNA.825PMID:21511999,PMID:29914874
SPNCRNA.824PMID:21511999,PMID:29914874
SPNCRNA.823PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.822PMID:21511999,PMID:29914874
SPNCRNA.673PMID:21511999,PMID:29914874
SPNCRNA.821PMID:21511999,PMID:29914874
SPNCRNA.820PMID:21511999,PMID:29914874
SPNCRNA.819PMID:21511999,PMID:29914874
SPNCRNA.818PMID:21511999,PMID:29914874
SPNCRNA.817prl59EMBL:AB084871,PMID:12597277,PMID:21511999,PMID:29914874
SPNCRNA.816PMID:21511999,PMID:29914874
SPNCRNA.815PMID:21511999,PMID:29914874
SPNCRNA.814PMID:21511999,PMID:29914874
SPNCRNA.813PMID:21511999,PMID:29914874
SPNCRNA.812PMID:21511999,PMID:29914874
SPNCRNA.811PMID:21511999,PMID:29914874
SPNCRNA.810PMID:21511999,PMID:29914874
SPNCRNA.809PMID:21511999,PMID:29914874
SPNCRNA.808PMID:18641648
SPNCRNA.807PMID:21511999,PMID:29914874
SPNCRNA.806PMID:21511999,PMID:29914874
SPNCRNA.691PMID:21511999,PMID:29914874
SPNCRNA.670PMID:21511999,PMID:29914874
SPNCRNA.1338PMID:21511999,PMID:29914874
SPNCRNA.1332PMID:21511999,PMID:29914874
SPNCRNA.1333PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1334PMID:21511999,PMID:29914874
SPNCRNA.1335PMID:21511999,PMID:29914874
SPNCRNA.1336PMID:21511999,PMID:29914874
SPNCRNA.1337PMID:21511999,PMID:29914874
SPNCRNA.1339PMID:21511999,PMID:29914874
SPNCRNA.1349PMID:21511999,PMID:29914874
SPNCRNA.1340PMID:21511999,PMID:29914874
SPNCRNA.1342PMID:21511999,PMID:29914874
SPNCRNA.1343ncRNA.1343PMID:21511999,PMID:25428589,PMID:29914874
SPNCRNA.1344PMID:21511999,PMID:29914874
SPNCRNA.1345PMID:21511999,PMID:29914874
SPNCRNA.1346PMID:21511999,PMID:29914874
SPNCRNA.1331PMID:21511999,PMID:29914874
SPNCRNA.1330PMID:21511999,PMID:29914874
SPNCRNA.1329PMID:21511999,PMID:29914874
SPNCRNA.1328PMID:21511999,PMID:29914874
SPNCRNA.1327PMID:21511999,PMID:29914874
SPNCRNA.1326PMID:21511999,PMID:29914874
SPNCRNA.1325PMID:21511999,PMID:29914874
SPNCRNA.1324PMID:21511999,PMID:29914874
SPNCRNA.1323PMID:21511999,PMID:29914874
SPNCRNA.1322PMID:21511999,PMID:29914874
SPNCRNA.1321PMID:21511999,PMID:29914874
SPNCRNA.1320PMID:21511999,PMID:29914874
SPNCRNA.1319PMID:21511999,PMID:29914874
SPNCRNA.1318PMID:21511999,PMID:29914874
SPNCRNA.1317PMID:21511999,PMID:29914874
SPNCRNA.1316PMID:21511999,PMID:29914874
SPNCRNA.1315PMID:21511999,PMID:29914874
SPNCRNA.1348PMID:21511999,PMID:29914874
SPNCRNA.1350PMID:21511999,PMID:29914874
SPNCRNA.1386PMID:21511999,PMID:29914874
SPNCRNA.1376PMID:21511999,PMID:29914874
SPNCRNA.1369PMID:21511999,PMID:29914874
SPNCRNA.1370PMID:21511999,PMID:29914874
SPNCRNA.1371PMID:21511999,PMID:29914874
SPNCRNA.1373PMID:21511999,PMID:29914874
SPNCRNA.1374PMID:21511999,PMID:29914874
SPNCRNA.1375PMID:21511999,PMID:29914874
SPNCRNA.1377PMID:21511999,PMID:29914874
SPNCRNA.1351PMID:21511999,PMID:29914874
SPNCRNA.1378PMID:21511999,PMID:29914874
SPNCRNA.1379PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1381PMID:21511999,PMID:29914874
SPNCRNA.1382PMID:21511999,PMID:29914874
SPNCRNA.1383PMID:21511999,PMID:29914874
SPNCRNA.1384PMID:21511999,PMID:29914874
SPNCRNA.1368PMID:21511999,PMID:29914874
SPNCRNA.1367PMID:21511999,PMID:29914874
SPNCRNA.1366nam2PMID:28765164
SPNCRNA.1365cti6-antisense-1PMID:21511999,PMID:29914874
SPNCRNA.1364PMID:21511999,PMID:29914874
SPNCRNA.1363PMID:21511999,PMID:29914874
SPNCRNA.1362PMID:21511999,PMID:29914874
SPNCRNA.1361PMID:21511999,PMID:29914874
SPNCRNA.1360PMID:21511999,PMID:29914874
SPNCRNA.1359PMID:21511999,PMID:29914874
SPNCRNA.1358PMID:21511999,PMID:29914874
SPNCRNA.1357PMID:21511999,PMID:29914874
SPNCRNA.1356PMID:21511999,PMID:29914874
SPNCRNA.1355PMID:21511999,PMID:29914874
SPNCRNA.1354PMID:21511999,PMID:29914874
SPNCRNA.1353PMID:21511999,PMID:29914874
SPNCRNA.1352PMID:21511999,PMID:29914874
SPNCRNA.1314PMID:21511999,PMID:29914874
SPNCRNA.1313PMID:21511999,PMID:29914874
SPNCRNA.1312PMID:21511999,PMID:29914874
SPNCRNA.1262PMID:21511999,PMID:29914874
SPNCRNA.1255PMID:21511999,PMID:29914874
SPNCRNA.1257PMID:21511999,PMID:29914874
SPNCRNA.1258PMID:21511999,PMID:29914874
SPNCRNA.1259PMID:21511999,PMID:29914874
SPNCRNA.1260PMID:21511999,PMID:29914874
SPNCRNA.1261PMID:21511999,PMID:29914874
SPNCRNA.1263PMID:21511999,PMID:29914874
SPNCRNA.1310PMID:21511999,PMID:29914874
SPNCRNA.1264PMID:21511999,PMID:29914874
SPNCRNA.1265PMID:21511999,PMID:29914874
SPNCRNA.1266PMID:21511999,PMID:29914874
SPNCRNA.1267PMID:21511999,PMID:29914874
SPNCRNA.1268PMID:21511999,PMID:29914874
SPNCRNA.1269PMID:21511999,PMID:29914874
SPNCRNA.1253PMID:21511999,PMID:29914874
SPNCRNA.1252PMID:21511999,PMID:29914874
SPNCRNA.1251PMID:21511999,PMID:29914874
SPNCRNA.1250PMID:21511999,PMID:29914874
SPNCRNA.1249PMID:21511999,PMID:29914874
SPNCRNA.1248PMID:21511999,PMID:29914874
SPNCRNA.1247PMID:21511999,PMID:29914874
SPNCRNA.1246PMID:21511999,PMID:29914874
SPNCRNA.1245PMID:21511999,PMID:29914874
SPNCRNA.1244PMID:21511999,PMID:29914874
SPNCRNA.1243PMID:21511999,PMID:29914874
SPNCRNA.1242PMID:21511999,PMID:29914874
SPNCRNA.1241PMID:21511999,PMID:29914874
SPNCRNA.1240PMID:21511999,PMID:29914874
SPNCRNA.1239PMID:21511999,PMID:29914874
SPNCRNA.1238PMID:21511999,PMID:29914874
SPNCRNA.1237PMID:21511999,PMID:29914874
SPNCRNA.1270PMID:21511999,PMID:29914874
SPNCRNA.1271PMID:21511999,PMID:29914874
SPNCRNA.1272PMID:21511999,PMID:29914874
SPNCRNA.1290PMID:21511999,PMID:29914874
SPNCRNA.1309PMID:21511999,PMID:29914874
SPNCRNA.1307PMID:21511999,PMID:29914874
SPNCRNA.1306PMID:21511999,PMID:29914874
SPNCRNA.1305PMID:21511999,PMID:29914874
SPNCRNA.1304PMID:21511999,PMID:29914874
SPNCRNA.1303PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1302PMID:21511999,PMID:29914874
SPNCRNA.1301PMID:21511999,PMID:29914874
SPNCRNA.1299PMID:21511999,PMID:29914874
SPNCRNA.1298PMID:21511999,PMID:29914874
SPNCRNA.1297PMID:21511999,PMID:29914874
SPNCRNA.1294PMID:21511999,PMID:29914874
SPNCRNA.1293PMID:18641648,PMID:21511999,PMID:29914874
SPNCRNA.1292PMID:21511999,PMID:29914874
SPNCRNA.1289PMID:21511999,PMID:29914874
SPNCRNA.1273PMID:21511999,PMID:29914874
SPNCRNA.1288PMID:21511999,PMID:29914874
SPNCRNA.1287PMID:21511999,PMID:29914874
SPNCRNA.1286PMID:21511999,PMID:29914874
SPNCRNA.1285PMID:21511999,PMID:29914874
SPNCRNA.1284PMID:21511999,PMID:29914874
SPNCRNA.1283PMID:21511999,PMID:29914874
SPNCRNA.1282PMID:21511999,PMID:29914874
SPNCRNA.1281PMID:21511999,PMID:29914874
SPNCRNA.1280PMID:21511999,PMID:29914874
SPNCRNA.1279PMID:21511999,PMID:29914874
SPNCRNA.1278PMID:21511999,PMID:29914874
SPNCRNA.1277PMID:21511999,PMID:29914874
SPNCRNA.1276PMID:21511999,PMID:29914874
SPNCRNA.1275PMID:21511999,PMID:29914874
SPNCRNA.1385PMID:21511999,PMID:29914874
SPNCRNA.1387PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1529PMID:21511999,PMID:29914874
SPNCRNA.1484PMID:21511999,PMID:29914874
SPNCRNA.1477PMID:21511999,PMID:29914874
SPNCRNA.1478PMID:21511999,PMID:29914874
SPNCRNA.1479PMID:21511999,PMID:29914874
SPNCRNA.1480PMID:21511999,PMID:29914874
SPNCRNA.1482PMID:21511999,PMID:29914874
SPNCRNA.1483PMID:21511999,PMID:29914874
SPNCRNA.1485PMID:21511999,PMID:29914874
SPNCRNA.1494PMID:21511999,PMID:29914874
SPNCRNA.1487PMID:21511999,PMID:29914874
SPNCRNA.1488PMID:21511999,PMID:29914874
SPNCRNA.1489PMID:21511999,PMID:29914874
SPNCRNA.1490PMID:18641648
SPNCRNA.1491PMID:21511999,PMID:29914874
SPNCRNA.1492PMID:21511999,PMID:29914874
SPNCRNA.1476PMID:21511999,PMID:29914874
SPNCRNA.1475PMID:21511999,PMID:29914874
SPNCRNA.1474PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1473PMID:21511999,PMID:29914874
SPNCRNA.1472PMID:21511999,PMID:29914874
SPNCRNA.1471PMID:21511999,PMID:29914874
SPNCRNA.1470PMID:21511999,PMID:29914874
SPNCRNA.1469PMID:21511999,PMID:29914874
SPNCRNA.1468PMID:21511999,PMID:29914874
SPNCRNA.1467PMID:21511999,PMID:29914874
SPNCRNA.1466PMID:21511999,PMID:29914874
SPNCRNA.1465PMID:21511999,PMID:29914874
SPNCRNA.1464PMID:21511999,PMID:29914874
SPNCRNA.1463PMID:21511999,PMID:29914874
SPNCRNA.1462PMID:21511999,PMID:29914874
SPNCRNA.1461PMID:21511999,PMID:29914874
SPNCRNA.1460PMID:21511999,PMID:29914874
SPNCRNA.1493prl38EMBL:AB084850,PMID:12597277,PMID:21511999,PMID:29914874
SPNCRNA.1495PMID:21511999,PMID:29914874
SPNCRNA.1389PMID:21511999,PMID:29914874
SPNCRNA.1520PMID:21511999,PMID:29914874
SPNCRNA.1514PMID:21511999,PMID:29914874
SPNCRNA.1515PMID:21511999,PMID:29914874
SPNCRNA.1516PMID:21511999,PMID:29914874
SPNCRNA.1517PMID:21511999,PMID:29914874
SPNCRNA.1518PMID:21511999,PMID:29914874
SPNCRNA.1519prl9PMID:12597277,PMID:21511999,PMID:29914874
SPNCRNA.1521PMID:21511999,PMID:29914874
SPNCRNA.1496PMID:21511999,PMID:29914874
SPNCRNA.1522PMID:21511999,PMID:29914874
SPNCRNA.1523PMID:21511999,PMID:29914874
SPNCRNA.1524PMID:21511999,PMID:29914874
SPNCRNA.1525PMID:21511999,PMID:29914874
SPNCRNA.1526PMID:21511999,PMID:29914874
SPNCRNA.1527PMID:21511999,PMID:29914874
SPNCRNA.1513PMID:21511999,PMID:29914874
SPNCRNA.1512PMID:21511999,PMID:29914874
SPNCRNA.1511PMID:21511999,PMID:29914874
SPNCRNA.1510PMID:21511999,PMID:29914874
SPNCRNA.1509PMID:21511999,PMID:29914874
SPNCRNA.1508PMID:21511999,PMID:29914874
SPNCRNA.1507PMID:21511999,PMID:29914874
SPNCRNA.1506PMID:21511999,PMID:29914874
SPNCRNA.1505PMID:21511999,PMID:29914874
SPNCRNA.1504PMID:21511999,PMID:29914874
SPNCRNA.1503PMID:21511999,PMID:29914874
SPNCRNA.1502PMID:21511999,PMID:29914874
SPNCRNA.1501PMID:21511999,PMID:29914874
SPNCRNA.1500PMID:21511999,PMID:29914874
SPNCRNA.1499PMID:21511999,PMID:29914874
SPNCRNA.1498PMID:21511999,PMID:29914874
SPNCRNA.1497PMID:21511999,PMID:29914874
SPNCRNA.1459nam1PMID:28765164
SPNCRNA.1458PMID:21511999,PMID:29914874
SPNCRNA.1457PMID:21511999,PMID:29914874
SPNCRNA.1413PMID:21511999,PMID:29914874
SPNCRNA.1407PMID:21511999,PMID:29914874
SPNCRNA.1408PMID:21511999,PMID:29914874
SPNCRNA.1409PMID:21511999,PMID:29914874
SPNCRNA.1410PMID:21511999,PMID:29914874
SPNCRNA.1411PMID:21511999,PMID:29914874
SPNCRNA.1412PMID:21511999,PMID:29914874
SPNCRNA.1414PMID:21511999,PMID:29914874
SPNCRNA.1456PMID:21511999,PMID:29914874
SPNCRNA.1415PMID:21511999,PMID:29914874
SPNCRNA.1416PMID:21511999,PMID:29914874
SPNCRNA.1417PMID:21511999,PMID:29914874
SPNCRNA.1418PMID:21511999,PMID:29914874
SPNCRNA.1419PMID:21511999,PMID:29914874
SPNCRNA.1420PMID:21511999,PMID:29914874
SPNCRNA.1406PMID:21511999,PMID:29914874
SPNCRNA.1405PMID:21511999,PMID:29914874
SPNCRNA.1404PMID:21511999,PMID:29914874
SPNCRNA.1403PMID:21511999,PMID:29914874
SPNCRNA.1402PMID:21511999,PMID:29914874
SPNCRNA.1401PMID:21511999,PMID:29914874
SPNCRNA.1400PMID:21511999,PMID:29914874
SPNCRNA.1399PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1398PMID:21511999,PMID:29914874
SPNCRNA.1397PMID:21511999,PMID:29914874
SPNCRNA.1396PMID:21511999,PMID:29914874
SPNCRNA.1395PMID:21511999,PMID:29914874
SPNCRNA.1394PMID:21511999,PMID:29914874
SPNCRNA.1393PMID:21511999,PMID:29914874
SPNCRNA.1392PMID:21511999,PMID:29914874
SPNCRNA.1391PMID:21511999,PMID:29914874
SPNCRNA.1390PMID:21511999,PMID:29914874
SPNCRNA.1421PMID:21511999,PMID:29914874
SPNCRNA.1422PMID:21511999,PMID:29914874
SPNCRNA.1423PMID:21511999,PMID:29914874
SPNCRNA.1441PMID:21511999,PMID:29914874
SPNCRNA.1455PMID:21511999,PMID:29914874
SPNCRNA.1454PMID:21511999,PMID:29914874
SPNCRNA.1453PMID:21511999,PMID:29914874
SPNCRNA.1452PMID:21511999,PMID:29914874
SPNCRNA.1451PMID:21511999,PMID:29914874
SPNCRNA.1450PMID:21511999,PMID:29914874
SPNCRNA.1449PMID:21511999,PMID:29914874
SPNCRNA.1448PMID:21511999,PMID:29914874
SPNCRNA.1447PMID:21511999,PMID:29914874
SPNCRNA.1446PMID:21511999,PMID:29914874
SPNCRNA.1445PMID:21511999,PMID:29914874
SPNCRNA.1444PMID:21511999,PMID:29914874
SPNCRNA.1443PMID:21511999,PMID:29914874
SPNCRNA.1442PMID:21511999,PMID:29914874
SPNCRNA.1440PMID:21511999,PMID:29914874
SPNCRNA.1424PMID:21511999,PMID:29914874
SPNCRNA.1439PMID:21511999,PMID:29914874
SPNCRNA.1438PMID:21511999,PMID:29914874
SPNCRNA.1437PMID:21511999,PMID:29914874
SPNCRNA.1435PMID:21511999,PMID:29914874
SPNCRNA.1434PMID:21511999,PMID:29914874
SPNCRNA.1433PMID:21511999,PMID:29914874
SPNCRNA.1432PMID:21511999,PMID:29914874
SPNCRNA.1431PMID:21511999,PMID:29914874
SPNCRNA.1430PMID:21511999,PMID:29914874
SPNCRNA.1429PMID:21511999,PMID:29914874
SPNCRNA.1428PMID:21511999,PMID:29914874
SPNCRNA.1427PMID:21511999,PMID:29914874
SPNCRNA.1426PMID:21511999,PMID:29914874
SPNCRNA.1425PMID:21511999,PMID:29914874
SPNCRNA.1236PMID:21511999,PMID:29914874
SPNCRNA.1235PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1234
SPNCRNA.1047PMID:21511999,PMID:29914874
SPNCRNA.1041PMID:21511999,PMID:29914874
SPNCRNA.1042PMID:21511999,PMID:29914874
SPNCRNA.1043PMID:21511999,PMID:29914874
SPNCRNA.1044PMID:21511999,PMID:29914874
SPNCRNA.1045PMID:21511999,PMID:29914874
SPNCRNA.1046PMID:21511999,PMID:29914874
SPNCRNA.1048PMID:21511999,PMID:29914874
SPNCRNA.1056PMID:21511999,PMID:29914874
SPNCRNA.1049PMID:21511999,PMID:29914874
SPNCRNA.1050PMID:21511999,PMID:29914874
SPNCRNA.1051PMID:21511999,PMID:29914874
SPNCRNA.1052PMID:21511999,PMID:29914874
SPNCRNA.1053PMID:21511999,PMID:29914874
SPNCRNA.1054PMID:21511999,PMID:29914874
SPNCRNA.1040PMID:21511999,PMID:29914874
SPNCRNA.1039PMID:21511999,PMID:29914874
SPNCRNA.1037PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1036PMID:21511999,PMID:29914874
SPNCRNA.1035PMID:21511999,PMID:29914874
SPNCRNA.1034PMID:21511999,PMID:29914874
SPNCRNA.1033PMID:21511999,PMID:29914874
SPNCRNA.1032PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1031PMID:21511999,PMID:29914874
SPNCRNA.1030PMID:21511999,PMID:29914874
SPNCRNA.1029PMID:21511999,PMID:29914874
SPNCRNA.1028PMID:21511999,PMID:29914874
SPNCRNA.1027PMID:21511999,PMID:29914874
SPNCRNA.1026PMID:21511999,PMID:29914874
SPNCRNA.1025PMID:21511999,PMID:29914874
SPNCRNA.1024PMID:21511999,PMID:29914874
SPNCRNA.1023PMID:21511999,PMID:29914874
SPNCRNA.1055PMID:21511999,PMID:29914874
SPNCRNA.1057PMID:21511999,PMID:29914874
SPNCRNA.1233PMID:21511999,PMID:29914874
SPNCRNA.1082PMID:21511999,PMID:29914874
SPNCRNA.1076PMID:21511999,PMID:29914874
SPNCRNA.1077PMID:21511999,PMID:29914874
SPNCRNA.1078PMID:21511999,PMID:29914874
SPNCRNA.1079PMID:21511999,PMID:29914874
SPNCRNA.1080PMID:21511999,PMID:29914874
SPNCRNA.1081PMID:21511999,PMID:29914874
SPNCRNA.1083PMID:21511999,PMID:29914874
SPNCRNA.1058PMID:21511999,PMID:29914874
SPNCRNA.1085PMID:21511999,PMID:29914874
SPNCRNA.1086PMID:21511999,PMID:29914874
SPNCRNA.1087PMID:21511999,PMID:29914874
SPNCRNA.1088PMID:21511999,PMID:29914874
SPNCRNA.1089PMID:21511999,PMID:29914874
SPNCRNA.1090PMID:21511999,PMID:29914874
SPNCRNA.1075PMID:21511999,PMID:29914874
SPNCRNA.1074PMID:21511999,PMID:29914874
SPNCRNA.1073PMID:21511999,PMID:29914874
SPNCRNA.1072PMID:21511999,PMID:29914874
SPNCRNA.1071PMID:21511999,PMID:29914874
SPNCRNA.1070PMID:21511999,PMID:29914874
SPNCRNA.1069PMID:21511999,PMID:29914874
SPNCRNA.1068PMID:21511999,PMID:29914874
SPNCRNA.1067PMID:21511999,PMID:29914874
SPNCRNA.1066PMID:21511999,PMID:29914874
SPNCRNA.1065PMID:21511999,PMID:29914874
SPNCRNA.1064PMID:21511999,PMID:29914874
SPNCRNA.1063PMID:21511999,PMID:29914874
SPNCRNA.1062PMID:21511999,PMID:29914874
SPNCRNA.1061PMID:21511999,PMID:29914874
SPNCRNA.1060PMID:21511999,PMID:29914874
SPNCRNA.1059PMID:21511999,PMID:29914874
SPNCRNA.1022PMID:21511999,PMID:29914874
SPNCRNA.1021PMID:21511999,PMID:29914874
SPNCRNA.1020PMID:21511999,PMID:29914874
SPNCRNA.1019PMID:21511999,PMID:29914874
SPNCRNA.1004PMID:21511999,PMID:29914874
SPNCRNA.1018PMID:21511999,PMID:29914874
SPNCRNA.1017PMID:21511999,PMID:29914874
SPNCRNA.1016PMID:21511999,PMID:29914874
SPNCRNA.1015PMID:21511999,PMID:29914874
SPNCRNA.1014PMID:21511999,PMID:29914874
SPNCRNA.1013PMID:21511999,PMID:29914874
SPNCRNA.1012PMID:21511999,PMID:29914874
SPNCRNA.1011PMID:21511999,PMID:29914874
SPNCRNA.1010PMID:21511999,PMID:29914874
SPNCRNA.1009PMID:21511999,PMID:29914874
SPNCRNA.1008PMID:21511999,PMID:29914874
SPNCRNA.1007PMID:21511999,PMID:29914874
SPNCRNA.1006PMID:21511999,PMID:29914874
SPNCRNA.1005PMID:21511999,PMID:29914874
SPNCRNA.1003PMID:21511999,PMID:29914874
SPNCRNA.1002PMID:21511999,PMID:29914874
SPNCRNA.1001PMID:21511999,PMID:29914874
SPNCRNA.1000PMID:21511999,PMID:29914874
SPNCRNA.1091PMID:21511999,PMID:29914874
SPNCRNA.1092PMID:21511999,PMID:29914874
SPNCRNA.1093PMID:21511999,PMID:29914874
SPNCRNA.1189PMID:21511999,PMID:29914874
SPNCRNA.1183PMID:21511999,PMID:29914874
SPNCRNA.1184PMID:21511999,PMID:29914874
SPNCRNA.1185PMID:21511999,PMID:29914874
SPNCRNA.1186PMID:21511999,PMID:29914874
SPNCRNA.1187PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1188PMID:21511999,PMID:29914874
SPNCRNA.1190PMID:21511999,PMID:29914874
SPNCRNA.1164PMID:21511999,PMID:29914874
SPNCRNA.1191PMID:21511999,PMID:29914874
SPNCRNA.1192PMID:21511999,PMID:29914874
SPNCRNA.1193PMID:21511999,PMID:29914874
SPNCRNA.1194PMID:21511999,PMID:29914874
SPNCRNA.1195PMID:21511999,PMID:29914874
SPNCRNA.1197PMID:21511999,PMID:29914874
SPNCRNA.1182PMID:21511999,PMID:29914874
SPNCRNA.1181PMID:21511999,PMID:29914874
SPNCRNA.1180PMID:21511999,PMID:29914874
SPNCRNA.1179PMID:21511999,PMID:29914874
SPNCRNA.1178PMID:21511999,PMID:29914874
SPNCRNA.1177PMID:21511999,PMID:29914874
SPNCRNA.1176PMID:21511999,PMID:29914874
SPNCRNA.1175PMID:21511999,PMID:29914874
SPNCRNA.1174PMID:21511999,PMID:29914874
SPNCRNA.1173PMID:21511999,PMID:29914874
SPNCRNA.1172PMID:21511999,PMID:29914874
SPNCRNA.1171PMID:21511999,PMID:29914874
SPNCRNA.1170PMID:21511999,PMID:29914874
SPNCRNA.1169PMID:21511999,PMID:29914874
SPNCRNA.1168PMID:21511999,PMID:29914874
SPNCRNA.1167PMID:21511999,PMID:29914874
SPNCRNA.1166prl6PMID:21511999,PMID:29914874
SPNCRNA.1198PMID:21511999,PMID:29914874
SPNCRNA.1199PMID:21511999,PMID:29914874
SPNCRNA.1200PMID:21511999,PMID:29914874
SPNCRNA.1218PMID:21511999,PMID:29914874
SPNCRNA.1232PMID:21511999,PMID:29914874
SPNCRNA.1231PMID:21511999,PMID:29914874
SPNCRNA.1230PMID:21511999,PMID:29914874
SPNCRNA.1229PMID:21511999,PMID:29914874
SPNCRNA.1228
SPNCRNA.1227PMID:21511999,PMID:29914874
SPNCRNA.1226PMID:21511999,PMID:29914874
SPNCRNA.1225PMID:21511999,PMID:29914874
SPNCRNA.1224PMID:21511999,PMID:29914874
SPNCRNA.1223PMID:21511999,PMID:29914874
SPNCRNA.1222PMID:21511999,PMID:29914874
SPNCRNA.1221PMID:21511999,PMID:29914874
SPNCRNA.1220PMID:21511999,PMID:29914874
SPNCRNA.1219PMID:21511999,PMID:29914874
SPNCRNA.1216PMID:21511999,PMID:29914874
SPNCRNA.1201PMID:21511999,PMID:29914874
SPNCRNA.1215PMID:21511999,PMID:29914874
SPNCRNA.1214PMID:21511999,PMID:29914874
SPNCRNA.1213PMID:21511999,PMID:29914874
SPNCRNA.1212PMID:21511999,PMID:29914874
SPNCRNA.1211PMID:21511999,PMID:29914874
SPNCRNA.1210PMID:21511999,PMID:29914874
SPNCRNA.1209PMID:21511999,PMID:29914874
SPNCRNA.1208PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1207PMID:21511999,PMID:29914874
SPNCRNA.1206PMID:21511999,PMID:29914874
SPNCRNA.1205PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1204PMID:21511999,PMID:29914874
SPNCRNA.1203PMID:21511999,PMID:29914874
SPNCRNA.1202PMID:21511999,PMID:29914874
SPNCRNA.1165PMID:21511999,PMID:29914874
SPNCRNA.1162PMID:21511999,PMID:29914874
SPNCRNA.1094PMID:21511999,PMID:29914874
SPNCRNA.1119PMID:21511999,PMID:29914874
SPNCRNA.1113PMID:21511999,PMID:29914874
SPNCRNA.1114PMID:21511999,PMID:29914874
SPNCRNA.1115PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1116PMID:21511999,PMID:29914874
SPNCRNA.1117PMID:21511999,PMID:29914874
SPNCRNA.1118PMID:21511999,PMID:29914874
SPNCRNA.1120PMID:21511999,PMID:29914874
SPNCRNA.1161PMID:21511999,PMID:29914874
SPNCRNA.1121PMID:21511999,PMID:29914874
SPNCRNA.1122PMID:21511999,PMID:29914874
SPNCRNA.1123PMID:21511999,PMID:29914874
SPNCRNA.1124PMID:21511999,PMID:29914874
SPNCRNA.1125PMID:21511999,PMID:29914874
SPNCRNA.1126PMID:21511999,PMID:29914874
SPNCRNA.1112PMID:21511999,PMID:29914874
SPNCRNA.1111PMID:21511999,PMID:29914874
SPNCRNA.1110PMID:21511999,PMID:29914874
SPNCRNA.1109PMID:21511999,PMID:29914874
SPNCRNA.1108PMID:21511999,PMID:29914874
SPNCRNA.1107PMID:21511999,PMID:29914874
SPNCRNA.1106PMID:21511999,PMID:29914874
SPNCRNA.1105PMID:21511999,PMID:29914874
SPNCRNA.1104PMID:21511999,PMID:29914874
SPNCRNA.1103PMID:21511999,PMID:29914874
SPNCRNA.1102PMID:21511999,PMID:29914874
SPNCRNA.1101PMID:21511999,PMID:29914874
SPNCRNA.1100PMID:21511999,PMID:29914874
SPNCRNA.1099PMID:21511999,PMID:29914874
SPNCRNA.1097PMID:21511999,PMID:29914874
SPNCRNA.1096PMID:21511999,PMID:29914874
SPNCRNA.1095PMID:21511999,PMID:29914874
SPNCRNA.1127PMID:21511999,PMID:29914874
SPNCRNA.1128PMID:21511999,PMID:29914874
SPNCRNA.1129PMID:21511999,PMID:29914874
SPNCRNA.1146PMID:21511999,PMID:29914874
SPNCRNA.1160PMID:21511999,PMID:29914874
SPNCRNA.1159PMID:21511999,PMID:29914874
SPNCRNA.1158PMID:21511999,PMID:29914874
SPNCRNA.1157PMID:21511999,PMID:29914874
SPNCRNA.1156PMID:21511999,PMID:29914874
SPNCRNA.1155PMID:21511999,PMID:29914874
SPNCRNA.1154PMID:21511999,PMID:29914874
SPNCRNA.1153PMID:21511999,PMID:29914874
SPNCRNA.1152PMID:21511999,PMID:29914874
SPNCRNA.1151PMID:21511999,PMID:29914874
SPNCRNA.1150PMID:21511999,PMID:29914874
SPNCRNA.1149PMID:21511999,PMID:29914874
SPNCRNA.1148PMID:21511999,PMID:29914874
SPNCRNA.1147PMID:21511999,PMID:29914874
SPNCRNA.1145PMID:21511999,PMID:29914874
SPNCRNA.1130PMID:21511999,PMID:29914874
SPNCRNA.1144PMID:21511999,PMID:29914874
SPNCRNA.1143PMID:21511999,PMID:29914874
SPNCRNA.1142PMID:21511999,PMID:29914874
SPNCRNA.1141PMID:21511999,PMID:29914874
SPNCRNA.1140PMID:21511999,PMID:29914874
SPNCRNA.1139PMID:21511999,PMID:29914874
SPNCRNA.1138PMID:21511999,PMID:29914874
SPNCRNA.1137PMID:21511999,PMID:29914874
SPNCRNA.1136PMID:21511999,PMID:29914874
SPNCRNA.1135PMID:21511999,PMID:29914874
SPNCRNA.1134PMID:21511999,PMID:29914874
SPNCRNA.1133PMID:21511999,PMID:29914874
SPNCRNA.1132PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1131PMID:21511999,PMID:29914874
SPNCRNA.1528PMID:21511999,PMID:29914874
SPNCRNA.1296PMID:21511999,PMID:29914874
SPNCRNA.1530
SPNCRNA.1676PMID:21511999,PMID:29914874
SPNCRNA.1678PMID:21511999,PMID:29914874
SPNCRNA.1680PMID:21511999,PMID:29914874
SPNCRNA.1681PMID:21511999,PMID:29914874
SPNCRNA.1682PMID:21511999,PMID:29914874
SPNCRNA.1683PMID:21511999,PMID:29914874
SPNCRNA.1684PMID:21511999,PMID:29914874
SPNCRNA.1685PMID:21511999,PMID:29914874
SPNCRNA.1686PMID:21511999,PMID:29914874
SPNCRNA.1687PMID:21511999,PMID:29914874
SPNCRNA.1688intergenic RNA nc-tgp1PMID:25428589
SPNCRNA.1689PMID:21511999,PMID:29914874
SPNCRNA.1690PMID:21511999,PMID:29914874
SPNCRNA.1691PMID:21511999,PMID:29914874
SPNCRNA.1692PMID:21511999,PMID:29914874
SPNCRNA.1693PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1694PMID:21511999,PMID:29914874
SPNCRNA.1695PMID:21511999,PMID:29914874
SPNCRNA.1696nam3PMID:28765164
SPNCRNA.1697PMID:21511999,PMID:29914874
SPNCRNA.1532PMID:21511999,PMID:29914874
SPNCRNA.602PMID:21511999,PMID:29914874
SPNCRNA.603PMID:21511999,PMID:29914874
SPNCRNA.604
SPNCRNA.605PMID:21511999,PMID:29914874
SPNCRNA.606PMID:21511999,PMID:29914874
SPNCRNA.607PMID:21511999,PMID:29914874
SPNCRNA.1677PMID:21511999,PMID:29914874
SPNCRNA.1675PMID:21511999,PMID:29914874
SPNCRNA.609PMID:21511999,PMID:29914874
SPNCRNA.1674
SPNCRNA.1646PMID:21511999,PMID:29914874
SPNCRNA.1647PMID:21511999,PMID:29914874
SPNCRNA.1648PMID:21511999,PMID:29914874
SPNCRNA.1649prl20EMBL:AB084832,PMID:12597277,PMID:21511999,PMID:29914874
SPNCRNA.1650PMID:21511999,PMID:29914874
SPNCRNA.1651PMID:18641648
SPNCRNA.1653PMID:21511999,PMID:29914874
SPNCRNA.1654PMID:21511999,PMID:29914874
SPNCRNA.1655PMID:21511999,PMID:29914874
SPNCRNA.1656PMID:21511999,PMID:29914874
SPNCRNA.1657PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1658PMID:21511999,PMID:29914874
SPNCRNA.1659PMID:21511999,PMID:29914874
SPNCRNA.1660PMID:21511999,PMID:29914874
SPNCRNA.1661PMID:21511999,PMID:29914874
SPNCRNA.1662PMID:21511999,PMID:29914874
SPNCRNA.1663PMID:21511999,PMID:29914874
SPNCRNA.1664PMID:21511999,PMID:29914874
SPNCRNA.1665PMID:21511999,PMID:29914874
SPNCRNA.1666PMID:21511999,PMID:29914874
SPNCRNA.1667PMID:21511999,PMID:29914874
SPNCRNA.1668PMID:21511999,PMID:29914874
SPNCRNA.1669PMID:21511999,PMID:29914874
SPNCRNA.1670PMID:21511999,PMID:29914874
SPNCRNA.1671PMID:21511999,PMID:29914874
SPNCRNA.1672PMID:21511999,PMID:29914874
SPNCRNA.1673PMID:21511999,PMID:29914874
SPNCRNA.608PMID:21511999,PMID:29914874
SPNCRNA.610PMID:21511999,PMID:29914874
SPNCRNA.1644PMID:21511999,PMID:29914874
SPNCRNA.641PMID:21511999,PMID:29914874
SPNCRNA.643PMID:21511999,PMID:29914874
SPNCRNA.644PMID:21511999,PMID:29914874
SPNCRNA.645PMID:21511999,PMID:29914874
SPNCRNA.646PMID:21511999,PMID:29914874
SPNCRNA.647PMID:21511999,PMID:29914874
SPNCRNA.648PMID:21511999,PMID:29914874
SPNCRNA.649PMID:21511999,PMID:29914874
SPNCRNA.650PMID:21511999,PMID:29914874
SPNCRNA.651PMID:21511999,PMID:29914874
SPNCRNA.652PMID:21511999,PMID:29914874
SPNCRNA.653PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.654PMID:21511999,PMID:29914874
SPNCRNA.655PMID:21511999,PMID:29914874
SPNCRNA.656PMID:21511999,PMID:29914874
SPNCRNA.657PMID:21511999,PMID:29914874
SPNCRNA.658PMID:21511999,PMID:29914874
SPNCRNA.659snoZPMID:21511999,PMID:29914874
SPNCRNA.660PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.661PMID:21511999,PMID:29914874
SPNCRNA.662PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.663PMID:21511999,PMID:29914874
SPNCRNA.664PMID:21511999,PMID:29914874
SPNCRNA.665PMID:21511999,PMID:29914874
SPNCRNA.666PMID:21511999,PMID:29914874
SPNCRNA.667PMID:21511999,PMID:29914874
SPNCRNA.668PMID:21511999,PMID:29914874
SPNCRNA.669PMID:21511999,PMID:29914874
SPNCRNA.642PMID:21511999,PMID:29914874
SPNCRNA.640PMID:21511999,PMID:29914874
SPNCRNA.611PMID:21511999,PMID:29914874
SPNCRNA.639PMID:21511999,PMID:29914874
SPNCRNA.612PMID:21511999,PMID:29914874
SPNCRNA.613PMID:21511999,PMID:29914874
SPNCRNA.614PMID:21511999,PMID:29914874
SPNCRNA.615PMID:21511999,PMID:29914874
SPNCRNA.616PMID:21511999,PMID:29914874
SPNCRNA.617PMID:21511999,PMID:29914874
SPNCRNA.618PMID:21511999,PMID:29914874
SPNCRNA.619PMID:21511999,PMID:29914874
SPNCRNA.620PMID:21511999,PMID:29914874
SPNCRNA.621PMID:21511999,PMID:29914874
SPNCRNA.622PMID:21511999,PMID:29914874
SPNCRNA.623PMID:21511999,PMID:29914874
SPNCRNA.624PMID:21511999,PMID:29914874
SPNCRNA.625PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.626PMID:21511999,PMID:29914874
SPNCRNA.627PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.628
SPNCRNA.629PMID:21511999,PMID:29914874
SPNCRNA.630PMID:21511999,PMID:29914874
SPNCRNA.631PMID:21511999,PMID:29914874
SPNCRNA.632PMID:21511999,PMID:29914874
SPNCRNA.633PMID:21511999,PMID:29914874
SPNCRNA.634PMID:21511999,PMID:29914874
SPNCRNA.635PMID:21511999,PMID:29914874
SPNCRNA.636PMID:21511999,PMID:29914874
SPNCRNA.637PMID:21511999,PMID:29914874
SPNCRNA.638PMID:21511999,PMID:29914874
SPNCRNA.1645PMID:21511999,PMID:29914874
SPNCRNA.601PMID:21511999,PMID:29914874
SPNCRNA.1643PMID:21511999,PMID:29914874
SPNCRNA.1548PMID:21511999,PMID:29914874
SPNCRNA.1569PMID:21511999,PMID:29914874
SPNCRNA.1568PMID:21511999,PMID:29914874
SPNCRNA.1567PMID:21511999,PMID:29914874
SPNCRNA.1538PMID:21511999,PMID:29914874
SPNCRNA.1539PMID:21511999,PMID:29914874
SPNCRNA.1540PMID:21511999,PMID:29914874
SPNCRNA.1542PMID:21511999,PMID:29914874
SPNCRNA.1543PMID:21511999,PMID:29914874
SPNCRNA.1544PMID:21511999,PMID:29914874
SPNCRNA.1545PMID:21511999,PMID:29914874
SPNCRNA.1546PMID:21511999,PMID:29914874
SPNCRNA.1547PMID:21511999,PMID:29914874
SPNCRNA.1549PMID:21511999,PMID:29914874
SPNCRNA.1570PMID:21511999,PMID:29914874
SPNCRNA.1550PMID:21511999,PMID:29914874
SPNCRNA.1595PMID:21511999,PMID:29914874
SPNCRNA.1552PMID:21511999,PMID:29914874
SPNCRNA.1553PMID:21511999,PMID:29914874
SPNCRNA.1554PMID:21511999,PMID:29914874
SPNCRNA.1566PMID:21511999,PMID:29914874
SPNCRNA.1555PMID:21511999,PMID:29914874
SPNCRNA.1556PMID:21511999,PMID:29914874
SPNCRNA.1557PMID:21511999,PMID:29914874
SPNCRNA.1558PMID:21511999,PMID:29914874
SPNCRNA.1559PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1565PMID:21511999,PMID:29914874
SPNCRNA.1537PMID:21511999,PMID:29914874
SPNCRNA.1536PMID:21511999,PMID:29914874
SPNCRNA.1596PMID:21511999,PMID:29914874
SPNCRNA.1582PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1594PMID:21511999,PMID:29914874
SPNCRNA.1593PMID:21511999,PMID:29914874
SPNCRNA.1592PMID:21511999,PMID:29914874
SPNCRNA.1591PMID:21511999,PMID:29914874
SPNCRNA.1590PMID:21511999,PMID:29914874
SPNCRNA.1589PMID:21511999,PMID:29914874
SPNCRNA.1588PMID:21511999,PMID:29914874
SPNCRNA.1587PMID:21511999,PMID:29914874
SPNCRNA.1586PMID:21511999,PMID:29914874
SPNCRNA.1585PMID:21511999,PMID:29914874
SPNCRNA.1584PMID:21511999,PMID:29914874
SPNCRNA.1583PMID:21511999,PMID:29914874
SPNCRNA.1581PMID:21511999,PMID:29914874
SPNCRNA.1571PMID:21511999,PMID:29914874
SPNCRNA.1580PMID:21511999,PMID:29914874
SPNCRNA.1579PMID:21511999,PMID:29914874
SPNCRNA.1578PMID:21511999,PMID:29914874
SPNCRNA.1577PMID:21511999,PMID:29914874
SPNCRNA.1576PMID:21511999,PMID:29914874
SPNCRNA.1575PMID:21511999,PMID:29914874
SPNCRNA.1533PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1534PMID:21511999,PMID:29914874
SPNCRNA.1535PMID:21511999,PMID:29914874
SPNCRNA.1574PMID:21511999,PMID:29914874
SPNCRNA.1573PMID:21511999,PMID:29914874
SPNCRNA.1572PMID:21511999,PMID:29914874
SPNCRNA.1564PMID:21511999,PMID:29914874
SPNCRNA.1551PMID:21511999,PMID:29914874
SPNCRNA.1563PMID:21511999,PMID:29914874
SPNCRNA.1628PMID:21511999,PMID:29914874
SPNCRNA.1615PMID:21511999,PMID:29914874
SPNCRNA.1616PMID:21511999,PMID:29914874
SPNCRNA.1617PMID:21511999,PMID:29914874
SPNCRNA.1618PMID:21511999,PMID:29914874
SPNCRNA.1597PMID:21511999,PMID:29914874
SPNCRNA.1620PMID:21511999,PMID:29914874
SPNCRNA.1621PMID:21511999,PMID:29914874
SPNCRNA.1622PMID:21511999,PMID:29914874
SPNCRNA.1623PMID:21511999,PMID:29914874
SPNCRNA.1624PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1625PMID:21511999,PMID:29914874
SPNCRNA.1626PMID:21511999,PMID:29914874
SPNCRNA.1627PMID:21511999,PMID:29914874
SPNCRNA.1629PMID:21511999,PMID:29914874
SPNCRNA.1613PMID:21511999,PMID:29914874
SPNCRNA.1630PMID:21511999,PMID:29914874
SPNCRNA.1562PMID:21511999,PMID:29914874
SPNCRNA.1632PMID:21511999,PMID:29914874
SPNCRNA.1633PMID:21511999,PMID:29914874
SPNCRNA.1634PMID:21511999,PMID:29914874
SPNCRNA.1635PMID:21511999,PMID:29914874
SPNCRNA.1636PMID:21511999,PMID:29914874
SPNCRNA.1637PMID:21511999,PMID:29914874
SPNCRNA.1638PMID:21511999,PMID:29914874
SPNCRNA.1639PMID:21511999,PMID:29914874
SPNCRNA.1640PMID:21511999,PMID:29914874
SPNCRNA.1641PMID:21511999,PMID:29914874
SPNCRNA.1642PMID:21511999,PMID:29914874
SPNCRNA.1614PMID:21511999,PMID:29914874
SPNCRNA.1619PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1610PMID:21511999,PMID:29914874
SPNCRNA.1611PMID:21511999,PMID:29914874
SPNCRNA.1605PMID:21511999,PMID:29914874
SPNCRNA.1561PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1606PMID:21511999,PMID:29914874
SPNCRNA.1607PMID:21511999,PMID:29914874
SPNCRNA.1603PMID:21511999,PMID:29914874
SPNCRNA.1608PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1602PMID:21511999,PMID:29914874
SPNCRNA.1609PMID:21511999,PMID:29914874
SPNCRNA.1601PMID:21511999,PMID:29914874
SPNCRNA.1604PMID:21511999,PMID:29914874
SPNCRNA.1560PMID:21511999,PMID:29914874
SPNCRNA.1600PMID:21511999,PMID:29914874
SPNCRNA.1598PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.1599PMID:21511999,PMID:29914874
SPNCRNA.530PMID:18641648
SPNCRNA.498PMID:18641648
SPNCRNA.499PMID:18641648
SPNCRNA.497snR48PMID:18641648
SPRRNA.54
SPRRNA.55
SPRRNA.53PMID:21270388
SPSNORNA.54
SPCTRNAVAL.12
SPRRNA.47
SPRRNA.52
SPRRNA.50
SPRRNA.42
SPRRNA.49
SPRRNA.43
SPRRNA.44
SPRRNA.48
SPRRNA.45
SPRRNA.51
SPRRNA.46
SPNCRNA.600nc-tco1
SPNCRNA.500
SPNCRNA.269
SPNCRNA.268
SPNCRNA.270
SPNCRNA.159PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.271
SPNCRNA.284
SPNCRNA.273
SPNCRNA.274PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.275
SPNCRNA.276
SPNCRNA.147
SPNCRNA.587meu20
SPNCRNA.586EMBL:AB001021,PMID:18488015,PMID:29914874
SPNCRNA.267
SPNCRNA.257
SPNCRNA.266
SPNCRNA.264
SPNCRNA.261
SPNCRNA.260
SPNCRNA.258
SPNCRNA.158
SPNCRNA.278
SPNCRNA.256
SPNCRNA.255
SPNCRNA.148
SPNCRNA.253
SPNCRNA.252PMID:29914874
SPNCRNA.249
SPNCRNA.585PMID:18488015,PMID:29914874
SPNCRNA.583PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.584lncRNA584PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.529
SPNCRNA.555PMID:18488015,PMID:29914874
SPNCRNA.554PMID:18488015,PMID:29914874
SPNCRNA.550
SPNCRNA.549PMID:18488015,PMID:29914874
SPNCRNA.545
SPNCRNA.540PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.536PMID:18488015,PMID:29914874
SPNCRNA.534PMID:18488015,PMID:29914874
SPNCRNA.526PMID:18488015,PMID:29914874
SPNCRNA.558PMID:18488015,PMID:29914874
SPNCRNA.525
SPNCRNA.524PMID:18488015,PMID:29914874
SPNCRNA.521PMID:29914874
SPNCRNA.520
SPNCRNA.519
SPNCRNA.517
SPNCRNA.516
SPNCRNA.513
SPNCRNA.556PMID:18488015,PMID:29914874
SPNCRNA.560PMID:18488015,PMID:29914874
SPNCRNA.572PMID:18488015,PMID:29914874
SPNCRNA.286PMID:18488015,PMID:29914874
SPNCRNA.580PMID:18488015,PMID:29914874
SPNCRNA.279
SPNCRNA.579PMID:18488015,PMID:29914874
SPNCRNA.577PMID:18488015,PMID:29914874
SPNCRNA.576PMID:18488015,PMID:29914874
SPNCRNA.575PMID:18488015,PMID:29914874
SPNCRNA.573PMID:18488015,PMID:29914874
SPNCRNA.571PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.561PMID:18488015,PMID:29914874
SPNCRNA.570
SPNCRNA.569PMID:18488015,PMID:29914874
SPNCRNA.568PMID:18488015,PMID:29914874
SPNCRNA.567PMID:18488015,PMID:29914874
SPNCRNA.566PMID:18488015,PMID:29914874
SPNCRNA.565PMID:18488015,PMID:29914874
SPNCRNA.563PMID:18488015,PMID:29914874
SPNCRNA.562PMID:18488015,PMID:29914874
SPNCRNA.247
SPNCRNA.243
SPNCRNA.244
SPNCRNA.185PMID:18488015,PMID:29914874
SPNCRNA.186
SPNCRNA.187
SPNCRNA.188
SPNCRNA.189
SPNCRNA.190
SPNCRNA.155
SPNCRNA.182
SPNCRNA.192
SPNCRNA.194
SPNCRNA.195
SPNCRNA.198PMID:18488015,PMID:29914874
SPNCRNA.199
SPNCRNA.200
SPNCRNA.201
SPNCRNA.184
SPNCRNA.181
SPNCRNA.169
SPNCRNA.141
SPNCRNA.164
SPNCRNA.142
SPNCRNA.166
SPNCRNA.139PMID:29914874
SPNCRNA.163
SPNCRNA.137
SPNCRNA.168
SPNCRNA.160
SPNCRNA.178
SPNCRNA.156
SPNCRNA.171
SPNCRNA.173
SPNCRNA.174
SPNCRNA.175
SPNCRNA.177
SPNCRNA.202PMID:18488015,PMID:29914874
SPNCRNA.511
SPNCRNA.232
SPNCRNA.222
SPNCRNA.226
SPNCRNA.228
SPNCRNA.229
SPNCRNA.230nam5PMID:28765164
SPNCRNA.231
SPNCRNA.233
SPNCRNA.219
SPNCRNA.234
SPNCRNA.237
SPNCRNA.239PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.240
SPNCRNA.242
SPNCRNA.220
SPNCRNA.204
SPNCRNA.216
SPNCRNA.209
SPNCRNA.212PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.213PMID:18488015,PMID:29914874
SPNCRNA.215
SPNCRNA.154
SPNCRNA.217
SPNCRNA.218
SPNCRNA.512
SPNCRNA.581PMID:18488015,PMID:29914874
SPNCRNA.471
SPNCRNA.361nam6PMID:28765164
SPNCRNA.335
SPNCRNA.337
SPNCRNA.338
SPNCRNA.315
SPNCRNA.313
SPNCRNA.346
SPNCRNA.348
SPNCRNA.351
SPNCRNA.352PMID:18488015,PMID:29914874
SPNCRNA.312
SPNCRNA.358
SPNCRNA.359
SPNCRNA.311
SPNCRNA.360
SPNCRNA.307PMID:18488015,PMID:29914874
SPNCRNA.400
SPNCRNA.333
SPNCRNA.401
SPNCRNA.316PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.425
SPNCRNA.423PMID:18488015,PMID:29914874
SPNCRNA.421
SPNCRNA.332
SPNCRNA.300
SPNCRNA.415
SPNCRNA.414PMID:18488015,PMID:29914874
SPNCRNA.402PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.413
SPNCRNA.412
SPNCRNA.408
SPNCRNA.406
SPNCRNA.405
SPNCRNA.403
SPNCRNA.306PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.362
SPNCRNA.427
SPNCRNA.363
SPNCRNA.392
SPNCRNA.391
SPNCRNA.390
SPNCRNA.304PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.389
SPNCRNA.388
SPNCRNA.373
SPNCRNA.374
SPNCRNA.387
SPNCRNA.385
SPNCRNA.376
SPNCRNA.384
SPNCRNA.383
SPNCRNA.377
SPNCRNA.380
SPNCRNA.506
SPNCRNA.372
SPNCRNA.393
SPNCRNA.305PMID:18488015,PMID:29914874
SPNCRNA.364
SPNCRNA.365
SPNCRNA.366
SPNCRNA.367
SPNCRNA.368
SPNCRNA.369
SPNCRNA.399
SPNCRNA.371
SPNCRNA.370
SPNCRNA.301
SPNCRNA.398
SPNCRNA.397PMID:18488015,PMID:29914874
SPNCRNA.396
SPNCRNA.394
SPNCRNA.317
SPNCRNA.417
SPNCRNA.428PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.292
SPNCRNA.483
SPNCRNA.482
SPNCRNA.481
SPNCRNA.480
SPNCRNA.294
SPNCRNA.296
SPNCRNA.478PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.477
SPNCRNA.475PMID:18488015,PMID:29914874
SPNCRNA.473
SPNCRNA.297
SPNCRNA.472
SPNCRNA.318
SPNCRNA.298
SPNCRNA.324
SPNCRNA.293PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.484
SPNCRNA.466
SPNCRNA.485
SPNCRNA.505
SPNCRNA.501
SPNCRNA.287PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.280
SPNCRNA.281
SPNCRNA.282
SPNCRNA.493
SPNCRNA.491
SPNCRNA.323
SPNCRNA.488
SPNCRNA.322PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.319
SPNCRNA.487
SPNCRNA.486
SPNCRNA.291PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.467
SPNCRNA.469
SPNCRNA.451
SPNCRNA.452
SPNCRNA.450
SPNCRNA.327
SPNCRNA.449
SPNCRNA.448
SPNCRNA.446
SPNCRNA.445PMID:18488015
SPNCRNA.443
SPNCRNA.442
SPNCRNA.441
SPNCRNA.440
SPNCRNA.328PMID:18488015,PMID:29914874
SPNCRNA.439
SPNCRNA.438PMID:18488015,PMID:21511999
SPNCRNA.437
SPNCRNA.435
SPNCRNA.432PMID:18488015,PMID:21511999,PMID:29914874
SPNCRNA.431
SPNCRNA.464PMID:18488015,PMID:29914874
SPNCRNA.382
SPNCRNA.460
SPNCRNA.453
SPNCRNA.454
SPNCRNA.463PMID:18488015,PMID:29914874
SPNCRNA.455PMID:18488015,PMID:29914874
SPNCRNA.456
SPNCRNA.326
SPNCRNA.283
SPNCRNA.462
SPNCRNA.457
SPNCRNA.214ter1telomerase RNA (predicted)
SPSNORNA.53snR88EMBL:EF165542
SPRRNA.40
SPRRNA.41EMBL:K00771
SPNCRNA.136
SPSNORNA.39snR36
SPNCRNA.135PMID:29914874
SPRRNA.31
SPNCRNA.134
SPRRNA.30
SPRRNA.32
SPRRNA.33
SPRRNA.34
SPRRNA.35
SPRRNA.36EMBL:K00570
SPRRNA.37
SPRRNA.29
SPRRNA.38
SPSNORNA.36snR5
SPRRNA.39
SPRRNA.28
SPSNORNA.44snR92EMBL:AJ632010,PMID:15716270
SPSNORNA.43snR91EMBL:AJ632009,PMID:15716270
SPSNORNA.42snR90EMBL:AJ632008,PMID:15716270
SPNCRNA.133
SPSNORNA.38snR33
SPSNORNA.41snR46
SPSNORNA.35snR3
SPSNORNA.40snR42
SPSNORNA.52snR101EMBL:AJ632019,PMID:15716270
SPRRNA.15
SPRRNA.27
SPRRNA.07
SPSNORNA.50snR98EMBL:AJ632017,PMID:15716270
SPSNORNA.49snR97EMBL:AJ632015,PMID:15716270
SPSNORNA.48snR96EMBL:AJ632014,PMID:15716270
SPSNORNA.47snR95EMBL:AJ632013,PMID:15716270,PMID:21511999,PMID:29914874
SPSNORNA.46snR94EMBL:AJ632012,PMID:15716270
SPSNORNA.45snR93EMBL:AJ632011,PMID:15716270
SPRRNA.03
SPRRNA.26
SPRRNA.05
SPRRNA.06
SPRRNA.04
SPRRNA.10
SPSNORNA.37snR10
SPRRNA.12
SPRRNA.24
SPRRNA.13
SPRRNA.16
SPRRNA.20
SPRRNA.11
SPRRNA.17
SPRRNA.18
SPRRNA.19
SPSNRNA.06snu6
SPNCRNA.92
SPNCRNA.15prl15PMID:12597277
SPNCRNA.93
SPNCRNA.90PMID:29914874
SPSNRNA.05snu5PMID:2587274
SPSNRNA.04snu4
SPSNORNA.09snR51b
SPNCRNA.94
SPNCRNA.95IRC1-R
SPSNORNA.20snoU17
SPSNORNA.19snoR69
SPSNORNA.18snoU24
SPSNORNA.17snoR58
SPSNORNA.16snoR56
SPSNORNA.15snoR38
SPSNORNA.01snR40
SPSNORNA.14snoR54b
SPSNORNA.13snoR69b
SPSNORNA.02snoZ8
SPSNORNA.03snoZ7
SPSNORNA.04snoZ5
SPSNORNA.12snoR02
SPSNORNA.11snoU24b
SPSNORNA.05snoZ4
SPSNORNA.06snoZ3
SPSNORNA.07snR41
SPSNORNA.08snR70
SPSNORNA.10snoZ16
SPSNORNA.21snoU14
SPSNORNA.22snoR54
SPSNORNA.31snoR39a
SPNCRNA.96EMBL:AU008985,PMID:29914874
SPNCRNA.98srp7EMBL:X15220,PMID:16453822,PMID:2837764,Rfam:RF00017
SPSNRNA.03snu3
SPSNORNA.34sno20
SPSNORNA.33sno16EMBL:AJ577640,EMBL:AJ632018,PMID:15716270
SPSNORNA.32sno12EMBL:AJ577639,PMID:15716270
SPSNORNA.30snr62
SPSNORNA.24snoR39b
SPSNRNA.02snu2
SPSNRNA.01snu1PMID:2188102
SPNCRNA.66prl66PMID:12597277
SPSNORNA.29sno52
SPSNORNA.28snoR68
SPSNORNA.27snoR47
SPSNORNA.26snoU18
SPSNORNA.25snoZ30EMBL:AJ007736
SPSNORNA.23snoZ15EMBL:AJ223844
SPSNRNA.07snu32
SPNCRNA.47prl47EMBL:AB084859,PMID:12597277,PMID:29914874
SPNCRNA.45prl45PMID:12597277
SPNCRNA.43prl43PMID:12597277
SPNCRNA.42prl42PMID:12597277
SPNCRNA.115PMID:29914874
SPNCRNA.116PMID:29914874
SPNCRNA.40prl40EMBL:AB084852,PMID:12597277,PMID:29914874
SPNCRNA.69tos1PMID:11156975
SPNCRNA.117
SPNCRNA.39prl39PMID:12597277
SPNCRNA.118PMID:29914874
SPNCRNA.37prl37PMID:12597277
SPNCRNA.120EMBL:SPC06392,PMID:29914874
SPNCRNA.36prl36PMID:12597277
SPNCRNA.35prl35PMID:12597277
SPNCRNA.34prl34PMID:12597277
SPNCRNA.121
SPNCRNA.33prl33PMID:12597277
SPNCRNA.122
SPNCRNA.32prl32PMID:12597277
SPNCRNA.123
SPNCRNA.124
SPNCRNA.112
SPNCRNA.111rse1EMBL:AU009915,PMID:18488015,PMID:21511999,PMID:29395921,PMID:29914874
SPNCRNA.70
SPNCRNA.110
SPNCRNA.79
SPNCRNA.80
SPNCRNA.71
SPNCRNA.82mrp1
SPNCRNA.100EMBL:SPC11163,PMID:29914874
SPNCRNA.62prl62PMID:12597277
SPNCRNA.61prl61PMID:12597277
SPNCRNA.102
SPNCRNA.103PMID:24920274,PMID:28765164
SPNCRNA.58prl58PMID:12597277
SPNCRNA.57prl57PMID:12597277
SPNCRNA.105
SPNCRNA.56prl56EMBL:AB084868,PMID:12597277
SPNCRNA.68prl68PMID:12597277
SPNCRNA.54prl54PMID:12597277
SPNCRNA.53prl53PMID:12597277
SPNCRNA.107
SPNCRNA.52prl52EMBL:AB084864,PMID:12597277,PMID:29914874
SPNCRNA.51prl51PMID:12597277
SPNCRNA.84IRC1-LEMBL:AU010014,EMBL:FY093953,PMID:15976807,PMID:16762840,PMID:23872991
SPNCRNA.128rrk1
SPNCRNA.50prl50PMID:12597277
SPNCRNA.67EMBL:AB084879,PMID:12597277,PMID:21511999,PMID:29914874
SPNCRNA.86
SPNCRNA.131tos2PMID:11156975
SPNCRNA.87
SPNCRNA.130omt3PMID:12786945
SPNCRNA.132PMID:11156975
SPNCRNA.02prl2PMID:12597277
SPNCRNA.05prl5PMID:12597277
SPNCRNA.03prl3PMID:12597277
SPNCRNA.04prl4PMID:12597277
SPBTRNAGLN.02
SPNCRNA.07meu3PMID:11376151,PMID:12597277
SPATRNAALA.02
SPNCRNA.16prl16PMID:12597277
SPBTRNAGLN.01
SPBTRNAGLU.07
SPBTRNAGLN.03
SPBTRNAGLN.04
SPBTRNAPRO.04
SPCTRNAGLY.12
SPBTRNALYS.09
SPCTRNALEU.11
SPBTRNAPRO.08
SPCTRNAGLN.05
SPBTRNALEU.08
SPBTRNALEU.07
SPCTRNALYS.12
SPBTRNAILE.08
SPCTRNAPRO.09
SPBTRNAGLY.08
SPBTRNATYR.03
SPCTRNASER.12
SPCTRNASER.13
SPBTRNAVAL.08
SPNCRNA.24prl24PMID:12597277
SPBTRNAARG.07
SPNCRNA.22prl22PMID:12597277
SPBTRNAALA.11
SPNCRNA.23prl23PMID:12597277
SPATRNAVAL.04
SPNCRNA.31PMID:29914874
SPNCRNA.30
SPATRNAVAL.02
SPNCRNA.29meu19PMID:12597277
SPNCRNA.28prl28PMID:12597277
SPNCRNA.27prl27EMBL:AB084839,PMID:12597277
SPNCRNA.26prl26PMID:12597277
SPNCRNA.13prl13PMID:12597277
SPNCRNA.25prl25PMID:12597277
SPNCRNA.12prl12PMID:12597277
SPNCRNA.14prl14PMID:12597277
SPNCRNA.11prl11EMBL:AB084823,PMID:12597277,PMID:29914874
SPNCRNA.19prl19PMID:12597277
SPATRNACYS.03
SPNCRNA.21prl21PMID:12597277
SPNCRNA.17meu11PMID:11376151,PMID:12597277
SPCTRNAGLU.10
SPCTRNAGLU.09
SPCTRNAGLN.06
SPCTRNAARG.10
SPCTRNAASP.08
SPCTRNAASP.07
SPCTRNAARG.11
SPCTRNAASP.06
SPCTRNAASP.05
SPCTRNAASN.06
SPCTRNAASN.05
SPCTRNAARG.12
SPCTRNAARG.13
SPCTRNAVAL.09
SPCTRNAGLY.11
SPCTRNASER.08
SPCTRNAARG.08
SPCTRNAVAL.11
SPCTRNAVAL.10
SPCTRNATHR.10
SPCTRNATHR.09
SPCTRNATHR.08
SPCTRNASER.11sup9
SPCTRNASER.10
SPCTRNASER.09
SPCTRNASER.07
SPCTRNAHIS.03
SPCTRNAPHE.05
SPCTRNAPHE.04
SPCTRNAMET.07
SPCTRNALYS.11
SPCTRNALYS.10
SPCTRNALEU.13
SPCTRNALEU.12
SPCTRNAILE.09
SPCTRNAHIS.04
SPCTRNAARG.09
SPCTRNAALA.12
SPBTRNAVAL.07
SPATRNAMET.02
SPATRNAMET.01EMBL:V01360
SPATRNALYS.05
SPATRNALYS.04
SPATRNALYS.03
SPATRNALYS.02
SPATRNALYS.01
SPATRNALEU.04
SPATRNALEU.03
SPATRNALEU.02
SPATRNALEU.01
SPATRNAILE.04
SPATRNAILE.03
SPATRNAILE.02
SPATRNAILE.01
SPATRNAGLY.02
SPATRNAGLY.01
SPATRNAGLU.04
SPATRNAGLU.03
SPATRNAGLU.02
SPATRNAGLU.01
SPATRNACYS.02
SPATRNACYS.01
SPATRNAASP.02
SPATRNAASP.01
SPATRNAMET.03
SPATRNAPHE.01
SPATRNAPHE.02
SPATRNATRP.01
SPBTRNAALA.07
SPBTRNAALA.08
SPBTRNAALA.09
SPBTRNAALA.10
SPBTRNAARG.04
SPATRNAVAL.03
SPBTRNAARG.05
SPATRNAVAL.01
SPATRNATYR.01
SPATRNATHR.05
SPATRNAPRO.01EMBL:AF156541
SPATRNATHR.04
SPATRNATHR.03
SPATRNATHR.02
SPATRNATHR.01
SPATRNASER.04
SPATRNASER.03
SPBTRNAARG.06
SPATRNASER.02
SPATRNASER.01EMBL:V01360
SPATRNAPRO.03
SPATRNAPRO.02spl1
SPATRNAARG.03
SPATRNAARG.02
SPATRNAARG.01
SPBTRNAILE.06
SPBTRNALEU.05
SPBTRNALEU.06
SPBTRNALEU.09
SPBTRNALEU.10
SPBTRNALYS.06
SPBTRNALYS.07
SPBTRNALYS.08
SPBTRNAMET.04
SPBTRNAMET.05
SPBTRNAMET.06
SPBTRNAPHE.03
SPBTRNAPRO.05
SPBTRNAPRO.06
SPBTRNAPRO.07
SPBTRNASER.05
SPBTRNASER.06
SPBTRNATHR.06
SPBTRNATHR.07
SPBTRNATRP.02
SPBTRNATRP.03
SPBTRNATYR.02
SPBTRNATYR.04
SPBTRNAVAL.05
SPBTRNAVAL.06
SPATRNAALA.06
SPBTRNAILE.07
SPBTRNAILE.05
SPBTRNAASP.04
SPATRNAALA.05
SPATRNAALA.04
SPATRNAALA.03
SPATRNAALA.01
SPBTRNAASN.01
SPBTRNAASN.02
SPBTRNAASN.03
SPBTRNAHIS.02
SPBTRNAASN.04
SPBTRNAGLU.05
SPBTRNAGLU.06
SPBTRNAHIS.01
SPBTRNAGLY.09
SPBTRNAGLY.07
SPBTRNAGLY.06
SPBTRNAGLY.05
SPBTRNAGLY.04
SPBTRNAGLY.03
SPBTRNAGLU.08
SPCTRNAGLY.10

New and removed genes since publication

New genes

Genes removed

New protein coding genes since publication

Systematic idPrimary nameDate addedCommentReference
SPAC144.19prl46PMID:32594847
SPCC4G3.20PMID:24929437
SPAPB1A11.06previously SPNCRNA.31PMID:26494834
SPCC1840.13PMID:24929437
SPAC29A4.23PMID:26494834
SPAC11D3.20PMID:26494834
SPBC3B8.10ina17PMID:25883323,PMID:26494834
SPAC110.06identified by ribosome profiling. F1F0 ATPase synthase peripheral stalk assembly factor Ina17 (predicted)PMID:24929437,PMID:26494834
SPAC823.17identified by ribosome profilingPMID:24929437
SPBC713.14cidentified by ribosome profilingPMID:24929437
SPCC18.20PMID:21511999
SPAC1071.13PMID:21511999
SPBC1685.17PMID:24929437
SPAC9G1.14PMID:21511999
SPACUNK4.20PMID:21511999
SPAPB15E9.06PMID:21511999
SPAPJ695.02PMID:21511999
SPBC1348.15PMID:21511999
SPBC13G1.16PMID:30925937
SPBC16E9.20PMID:21511999
SPBC19G7.19PMID:21511999
SPBC21B10.14ymr31PMID:21511999
SPBC21B10.15PMID:21511999
SPBC25H2.18cox20PMID:21511999
SPBC2A9.14PMID:21511999
SPBC2F12.17cox7PMID:21511999
SPAC977.18PMID:21511999
SPAC959.11PMID:21511999
SPAC922.09PMID:21511999
SPAC8E11.12PMID:21511999
SPAC4H3.17PMID:21511999
SPAC4H3.16PMID:21511999
SPAC3F10.19spd2PMID:21511999
SPAC343.21PMID:21511999
SPAC2H10.04PMID:21511999
SPAC29A4.22PMID:21511999
SPAC25B8.20PMID:21511999,PMID:30925937
SPAC1B2.06PMID:21511999
SPAC19A8.16prl65PMID:21511999
SPAC1834.13PMID:21511999
SPAC17A5.19PMID:21511999
SPAC1399.06PMID:21511999
SPAC11D3.19PMID:21511999
SPBC30B4.09PMID:21511999,PMID:30925937
SPBC32H8.15PMID:21511999
SPBC336.16PMID:21511999
SPBP23A10.17PMID:21511999
SPCPB16A4.07PMID:21511999,PMID:30925937
SPCC794.16
SPCC663.18PMID:21511999
SPCC417.16PMID:21511999
SPCC188.14PMID:21511999
SPCC1259.16PMID:21511999
SPCC1235.18PMID:21511999
SPCC1235.17PMID:21511999
SPBPB21E7.11PMID:21511999
SPBP8B7.32PMID:21511999
SPBP35G2.17PMID:21511999
SPAC1093.07PMID:21511999
SPBC409.23tam7PMID:21270388
SPBC1105.19tam12PMID:21270388
SPBC3H7.18tam8PMID:21270388
SPBC839.20new14PMID:21270388
SPBC24C6.13new16PMID:21270388
SPBC839.19new20PMID:21270388
SPBC1711.18tam9PMID:21270388
SPBC17D1.17tam11PMID:21270388
SPBC14C8.19tam10PMID:21270388
SPBC530.16ksh1PMID:21270388
SPBC56F2.15tam13PMID:21270388
SPBC30D10.21new18PMID:21270388
SPBC32F12.16new17PMID:21270388
SPAC1486.11fmc1PMID:21270388
SPAC3H5.13new4PMID:21270388
SPAC15A10.17coa2PMID:21270388
SPAC3G9.17new8PMID:21270388
SPAC6B12.19rsa3PMID:21270388
SPAC4D7.14new13PMID:21270388
SPBC887.22new19PMID:21270388
SPAC4D7.15new12PMID:21270388
SPAC23A1.20new11PMID:21270388
SPAC222.19tam1PMID:21270388
SPAC1F7.14ctam6PMID:21270388
SPAC1B3.21tam3PMID:21270388
SPAC16E8.18ctam5PMID:21270388
SPAC19G12.17new10PMID:21270388
SPBC8D2.23new15PMID:21270388
SPAC4F10.22cmc4PMID:21270388
SPAC17G8.15new1PMID:21270388
SPCC330.20tam14PMID:21270388
SPCC330.21new25PMID:21270388
SPCC4B3.20cmc2PMID:21270388
SPAC1805.18new2PMID:21270388
SPCP20C8.04new22PMID:21270388
SPAC926.10new9PMID:21270388
SPCC18.19cost5first 2 exons may be incorrect, homology is within 3rd exonpers. comm. Val Wood
SPAC9G1.15cmzt1PMID:21270388
SPBC3E7.17
SPBP35G2.16cecl2PMID:19352039
SPBC8E4.12cecl3PMID:19352039
SPCC1235.16vma21pers. comm. Juan Mata
SPAC12G12.17Solexa predictionPMID:18488015
SPAC167.09Solexa predictionPMID:18488015
SPAP4C9.02Solexa predictionPMID:18488015
SPBC1604.25Solexa predictionPMID:18488015
SPAPB1E7.14iec5Solexa predictionPMID:18488015
SPAC6F6.19Solexa predictionPMID:18488015
SPAC57A7.15cSolexa predictionPMID:18488015
SPBC29A10.17Solexa predictionPMID:18488015
SPBC26H8.16Solexa predictionPMID:18488015
SPAC688.16Solexa predictionPMID:18488015
SPCC1442.19Solexa predictionPMID:18488015
SPCC16C4.22Solexa predictionPMID:18488015
SPCC569.09sequence orphan; longest reading frome in solexa transcript SPNG2623. Solexa predictionPMID:18488015
SPCC70.12cecl1extender of the chronological lifespan protein Ecl1. Solexa predictionPMID:18422613,PMID:18488015
SPCC757.15Solexa predictionPMID:18488015
SPAC20G4.09Solexa predictionPMID:18488015
SPAC4G9.22Solexa predictionPMID:18488015
SPAC27E2.14Solexa predictionPMID:18488015
SPAC25H1.10catp19Solexa predictionPMID:18488015
SPAC23H4.21Solexa predictionPMID:18488015
SPAC212.12PMID:21511999
SPAC23D3.17Solexa predictionPMID:18488015
SPAC23D3.16Solexa predictionPMID:18488015
SPAC22F3.15Solexa predictionPMID:18488015
SPAC227.19cSolexa predictionPMID:18488015
SPAC222.18Solexa predictionPMID:18488015
SPAC222.17Solexa predictionPMID:18488015
SPBC16C6.14spo2Solexa predictionPMID:18367542,PMID:18488015
SPCC1183.12spo13previously SPNCRNA.546; splice site not spotted because it was outside the coordinate range of the feature. Solexa predictionPMID:18367542,PMID:18488015
SPBC12D12.09rev7PMID:21511999
SPAC22F3.11csnu23PMID:16823372,PMID:21511999,PMID:26494834,PMID:26615217
SPAPB1A10.16conserved fungal protein; created from the C-term exon of SPAPB1A10.03PMID:30566651
SPCC1393.14ten1; nuclear telomere cap complex subunitpers. comm. Paul Russell
SPAC1250.07dubious. TFIIIC subunit Tfc7PMID:17409385
SPAC9E9.02PMID:21511999
SPAC27E2.12dubious
SPAC8E11.08cPMID:21511999
SPAC23C4.04cPMID:18488015
SPAC806.11
SPAC6B12.18sequence orphanPMID:21511999
SPBC1347.14cdubiousSPD:52/52E09
SPBCPT2R1.10
SPCC338.03cPMID:21511999
SPCC417.15dubiousPMID:21511999
SPCC16C4.21
SPAC57A10.14SAGA complex subunit (predicted); identified in targeted search for S. cerevisiae SGF11 orthologPMID:21511999
SPAC8C9.19conserved protein; similar to D. hansenii DEHA0C10780g
SPBC3D6.16sequence orphan
SPBC3B9.22cdad4DASH complex subunit Dad4 (predicted)pers. comm. Xiangwei He
SPCC1223.15cspc19DASH complex subunit Spc19pers. comm. Xiangwei He
SPAC19D5.10csequence orphanSPD:52/52C01
SPAC19D5.11csimilar to S. cerevisiae CTF8 pers. comm. Stuart MacNeil
SPAC3A12.19mitochondrial ribosomal protein; identified in targeted search for S. cerevisiae YBR282W orthologPMID:21511999
SPBC1685.16vma9PMID:21511999
SPBC31A8.02
SPAC14C4.16hypothetical protein; sequence orphan; identified in targeted search for S. cerevisiae DAD3 orthologPMID:30566651
SPAC959.10tRNA splicing endonuclease; similar to S. cerevisiae YMR059WPMID:21511999
SPAC6B12.06cPMID:21511999
SPBC56F2.14mrpl44ribosomal protein, mitochondrial L44 (predicted); similar to S. cerevisiae YMR225C; identified in targeted search for S. cerevisiae MRP144 ortholog
SPBC6B1.12cSAGA histone acetylase complex (predicted); involved in nuclear export (predicted); similar to S. cerevisiae YBR111W-A; identified in targeted search for S. cerevisiae SUS1 orthologPMID:21511999
SPBCPT2R1.04cPMID:21511999
SPBCPT2R1.06c
SPBCPT2R1.05c
SPBCPT2R1.03
SPBCPT2R1.08cPMID:21511999
SPBCPT2R1.07c
SPBCPT2R1.02
SPCC162.04cwtf13PMID:28631610,PMID:30475921,PMID:30991417
SPCC330.19chypothetical protein; sequence orphan; confirmed by ESTPMID:21511999
SPBPB21E7.01cPMID:21511999
SPBPB21E7.04cPMID:21511999
SPAC2F3.12cPMID:21511999
SPBPB21E7.05
SPBPB21E7.06
SPBC1348.05PMID:21511999
SPBC1348.04PMID:21511999
SPBPB21E7.07PMID:30566651
SPBC1348.03PMID:21511999
SPBC1348.02PMID:21511999
SPBC1348.01PMID:21511999
SPBPB8B6.06cEMBL:AU013227
SPCC576.16cwtf22PMID:28631610
SPBPB8B6.05cEMBL:AU009839
SPBPB8B6.02cPMID:21511999
SPBC1348.14cPMID:21511999
SPBC1348.12
SPBC1348.11
SPBPB21E7.09PMID:21511999
SPBC1348.10c
SPBC1348.09
SPBC1348.08cPMID:21511999
SPBPB21E7.08PMID:30566651
SPBC1348.07PMID:21511999
SPBC1348.06c
SPBPB8B6.03
SPAC2F3.18cPMID:21511999
SPBPB21E7.02cPMID:21511999
SPBPB21E7.10PMID:21511999
SPAC2E12.02EMBL:AU008781
SPAPB15E9.02cPMID:21511999
SPAPB18E9.05c
SPAPB18E9.04cPMID:21511999
SPAPB18E9.02cppk18PMID:21511999
SPBPB8B6.04cgrt1PMID:11058086
SPAPB18E9.01trm5PMID:21511999
SPBP22H7.08PMID:21511999

Priority unstudied genes

Fission yeast genes are classed as “unknown” if there is no information about the broad cellular role (biological process) in which it participates (corresponding to any of the high level GO biological process slim classes). For these, we have been unable to identify a broad biological role based on experimental data in S. pombe or any other organism. Note that, as all genes in S. pombe have been curated, these genes are documented as “unknown” (they are not “unannotated”).

In S. pombe the “unknown” inventory is entries, many of which are apparently found only in the fission yeast clade. However, a large number () are conserved, and a significant number of these () have orthologs in vertebrates. These genes are listed below.

You can recreate this query, or variations of it, using the Advanced Search. See the relevant FAQ and the Advanced Search documentation for details. You can also send this list directly to the advanced search (For example to mine for phenotypes or locations of interest).

RNA genes removed since publication

Systematic idPrimary nameDate removedCoordinates when removedCommentReference
SPNCRNA.8933177931..3178309Merged into SPNCRNA.87PomBase curators
SPNCRNA.2635317424..5317575PomBase curators
SPNCRNA.38prl38complement(2186474..2186908)Merged into SPNCRNA.1493PomBase curators
SPNCRNA.3862051835..2051899PomBase curators
SPNCRNA.2082802514..2802681PomBase curators
SPNCRNA.2725442999..5443180PomBase curators
SPNCRNA.290102509..102673PomBase curators
SPNCRNA.75complement(2810265..2810692)Merged into SPAC1B2.03cPomBase curators
SPNCRNA.3105543364..5543438PomBase curators
SPNCRNA.81complement(1574846..1575103)PomBase curators
SPNCRNA.13879209..79317PomBase curators
SPNCRNA.4901354634..1354743PomBase curators
SPNCRNA.2655387957..5388056PomBase curators
SPNCRNA.1062704773..2704920Merged into SPAC1F8.03c,SPBC4F6.09,SPCC61.01cPomBase curators
SPNCRNA.16123537068..3538112Merged into SPBC887.22PomBase curators
SPNCRNA.20prl20complement(3934357..3934809)Merged into SPNCRNA.1649PomBase curators
SPNCRNA.64827254..827546Merged into SPCC1393.13PomBase curators
SPNCRNA.541complement(3150467..3153000)Merged into SPNCRNA.1582PomBase curators
SPNCRNA.12171677222..1680771Merged into SPNCRNA.583PomBase curators
SPNCRNA.543complement(3751363..3751721)Merged into SPBC13G1.16PomBase curators
SPNCRNA.523complement(2381299..2381802)Merged into SPNCRNA.1293PomBase curators
SPNCRNA.1707prl1022626082..2626661Merged into SPNCRNA.5748PomBase curators
SPNCRNA.5743510949..3512276Merged into SPNCRNA.1608PomBase curators
SPNCRNA.578complement(343079..346451)Merged into SPNCRNA.1132PomBase curators
SPNCRNA.1134129796..4130288Merged into SPNCRNA.1674PomBase curators
SPNCRNA.582complement(1587755..1588838)Merged into SPNCRNA.1208PomBase curators
SPNCRNA.532complement(4465475..4466352)Merged into SPNCRNA.1696PomBase curators
SPNCRNA.5041839578..1840266Merged into SPNCRNA.1235PomBase curators
SPNCRNA.539complement(2601130..2601336)Merged into SPNCRNA.1533PomBase curators
SPNCRNA.1163957698..959188Merged into SPNCRNA.478PomBase curators
SPNCRNA.7117complement(935976..936618)Merged into SPNCRNA.1706PomBase curators
SPNCRNA.4193408356..3410137Merged into SPNCRNA.1598PomBase curators
SPNCRNA.458170771..173539Merged into SPNCRNA.1115PomBase curators
SPNCRNA.4243584415..3584941Merged into SPNCRNA.1619PomBase curators
SPNCRNA.4263620593..3622000Merged into SPNCRNA.1624PomBase curators
SPNCRNA.4364033337..4035308Merged into SPNCRNA.1657PomBase curators
SPNCRNA.4444435937..4436680Merged into SPNCRNA.1693PomBase curators
SPNCRNA.2102959156..2959658Merged into SPNCRNA.865PomBase curators
SPNCRNA.1436complement(1467902..1468396)Merged into SPSNORNA.47PomBase curators
SPNCRNA.14811952767..1955702Merged into SPNCRNA.571PomBase curators
SPNCRNA.911complement(3477738..3479037)PomBase curators
SPNCRNA.1972519010..2521358Merged into SPNCRNA.831PomBase curators
SPNCRNA.528complement(2931805..2932279)PomBase curators
SPNCRNA.2052738681..2740459Merged into SPNCRNA.848PomBase curators
SPNCRNA.44965524126..5524769Merged into SPNCRNA.1703PomBase curators
SPNCRNA.8823060538..3061276Merged into SPNCRNA.212PomBase curators
SPNCRNA.2775478402..5479098PomBase curators
SPNCRNA.2363846893..3847670Merged into SPNCRNA.941PomBase curators
SPNCRNA.329831524..832704Merged into SPNCRNA.1387PomBase curators
SPNCRNA.860complement(2931622..2932800)PomBase curators
SPNCRNA.321672953..673783Merged into SPNCRNA.1379PomBase curators
SPNCRNA.2464400686..4401605Merged into SPNCRNA.985PomBase curators
SPNCRNA.551485703..486330Merged into SPNCRNA.653PomBase curators
SPNCRNA.2484531070..4531631Merged into SPNCRNA.996PomBase curators
SPNCRNA.2544869147..4870212Merged into SPNCRNA.1032PomBase curators
SPNCRNA.557complement(1902620..1904134)Merged into SPNCRNA.772PomBase curators
SPNCRNA.4499complement(5552817..5554059)Merged into SPNCRNA.1704PomBase curators
SPNCRNA.5644931204..4933354Merged into SPNCRNA.1037PomBase curators
SPNCRNA.299274745..275832Merged into SPNCRNA.1333PomBase curators
SPNCRNA.5592893868..2895019Merged into SPNCRNA.858PomBase curators
SPNCRNA.31122474190..2474389PomBase curators
SPNCRNA.1038complement(4936907..4937569)Merged into SPSNORNA.42PomBase curators
SPNCRNA.325720414..720516PomBase curators
SPNCRNA.143236819..236928Merged into SPNCRNA.625PomBase curators
SPNCRNA.3414106634..4106726PomBase curators
SPNCRNA.507complement(2265688..2265845)Merged into SPNCRNA.808PomBase curators
SPNCRNA.5081938961..1939133PomBase curators
SPNCRNA.5103851006..3851107Merged into SPNCRNA.942PomBase curators
SPNCRNA.514complement(2145712..2145812)Merged into SPNCRNA.1490PomBase curators
SPNCRNA.5153962690..3962794Merged into SPNCRNA.1651PomBase curators
SPNCRNA.129complement(115394..115476)PomBase curators
SPNCRNA.1144262098..4262173PomBase curators
SPNCRNA.125895569..895690Merged into SPCC16A11.14PomBase curators
SPNCRNA.9063394883..3395271Merged into SPSNORNA.20PomBase curators
SPNCRNA.1081680947..1681089PomBase curators
SPNCRNA.915058865..5059013PomBase curators
SPNCRNA.883033837..3033955PomBase curators
SPNCRNA.1192097286..2097395PomBase curators
SPNCRNA.893960007..3960165PomBase curators
SPNCRNA.99complement(4434321..4434475)PomBase curators
SPNCRNA.126complement(895866..895962)PomBase curators
SPNCRNA.127895922..896000PomBase curators
SPNCRNA.10complement(1837689..1838380)merged with SPNCRNA.1234PomBase curators
SPNCRNA.101227377..227756Merged into SPNCRNA.62PomBase curators
SPNCRNA.104547327..547670Merged into SPNCRNA.66PomBase curators
SPNCRNA.1932404684..2405924Merged into SPNCRNA.823PomBase curators
SPNCRNA.18complement(3699381..3700010)merged with SPNCRNA.928PomBase curators
SPNCRNA.1711adh1-antisense-2complement(1590089..1593983)Merged into SPNCRNA.1710PomBase curators
SPNCRNA.4891342276..1342801merged with SPNCRNA.1187PomBase curators
SPNCRNA.46complement(4651351..4651792)SPNCRNA.46 changed to 5' UTR of SPAC144.19 (prl46)PMID:32594847
SPNCRNA.12952419027..2419845Merged into SPNCRNA.29PomBase curators
SPNCRNA.884complement(3084619..3086087)merged with SPNCRNA.214PomBase curators
SPNCRNA.553SPAC13A11.06-antisense-2complement(585266..587631)Merged into SPNCRNA.662PomBase curators
SPNCRNA.15412661608..2662564Merged into SPNCRNA.540PomBase curators
SPNCRNA.9513951825..3952588Merged into SPNCRNA.239PomBase curators
SPNCRNA.145239730..240571Merged into SPNCRNA.628PomBase curators
SPNCRNA.1098complement(42013..42653)merged with SPNCRNA.07PomBase curators
SPNCRNA.1274complement(2215568..2217808)Merged into SPNCRNA.584PomBase curators
SPNCRNA.1388835808..836248Merged into SPNCRNA.34PomBase curators
SPNCRNA.7291236996..1238533Merged into SPNCRNA.432PomBase curators
SPNCRNA.681776184..777243Merged into SPNCRNA.159PomBase curators
SPNCRNA.7271234476..1235111deleted; ID added as synonym to SPNCRNA.82 and SPSNORNA.10 (covers both). Merged into SPNCRNA.82,SPSNORNA.10PomBase curators
SPNCRNA.9944516018..4517065Merged into SPNCRNA.130PomBase curators
SPNCRNA.28963695..64021Merged into SPNCRNA.1303PomBase curators
SPNCRNA.772362396..2362641Merged into SPNCRNA.817PomBase curators
SPNCRNA.7679543..79628overlapped with correctly annotated NUMT (SPNUMT.9)PomBase curators
SPNCRNA.4538complement(63188..63561)PomBase curators
SPNCRNA.8372344..72414overlapped with correctly annotated NUMT (SPNUMT.8)PomBase curators
SPNCRNA.782362643..2362753Merged into SPNCRNA.817PomBase curators
SPNCRNA.9624136046..4137000Merged into SPNCRNA.306PomBase curators
SPNCRNA.958complement(4100222..4101663)merged with SPAC23A1.20PomBase curators
SPNCRNA.59prl592362411..2362747Merged into SPNCRNA.817PomBase curators
SPNCRNA.4951560068..1561109Merged into SPNCRNA.1205PomBase curators
SPNCRNA.552pol4-antisense-1541795..543483Merged into SPNCRNA.660PomBase curators
SPNCRNA.1679complement(4194886..4196046)Merged into SPNCRNA.438PomBase curators
SPNCRNA.1341complement(339484..340003)Merged into SPNCRNA.103PomBase curators
SPNCRNA.12562045109..2046142PomBase curators
SPNCRNA.144238509..238898Merged into SPNCRNA.627PomBase curators
SPNCRNA.5382301759..2303132Merged into SPNCRNA.1501PomBase curators
SPNCRNA.5031787163..1787440PomBase curators
SPNCRNA.15312584028..2586436Merged into SPNCRNA.402PomBase curators
SPNCRNA.10845459203..5460261Merged into SPNCRNA.274PomBase curators
SPNCRNA.5021782127..1783070merged with SPNCRNA.1228PomBase curators
SPNCRNA.16313702520..3703093Merged into SPNCRNA.428PomBase curators
SPNCRNA.4112901243..2902541Merged into SPNCRNA.1561PomBase curators
SPNCRNA.4102886001..2886371Merged into SPNCRNA.1559PomBase curators
SPNCRNA.2273610148..3611124Merged into SPNCRNA.921PomBase curators
SPNCRNA.4675complement(340287..340577)Merged into SPNCRNA.103PomBase curators
SPNCRNA.09prl9complement(2485500..2486230)Merged into SPNCRNA.1519PomBase curators
SPNCRNA.5434104..434843PomBase curators
SPNCRNA.08prl8complement(2485488..2486126)Merged into SPNCRNA.1519PomBase curators
SPNCRNA.74eta2-antisense-4complement(3002976..3003758)Merged into SPNCRNA.872PomBase curators
SPNCRNA.73eta2-antisense-3complement(3002834..3003255)Merged into SPNCRNA.872PomBase curators
SPNCRNA.06prl6complement(968168..968477)Merged into SPNCRNA.1166PomBase curators
SPNCRNA.01prl13003816..3004916SPNCRNA.01/prl101 part of the UTR of eta2PomBase curators
SPNCRNA.72eta2-antisense-2complement(3001825..3003103)Merged into SPNCRNA.872PomBase curators
SPNCRNA.2010complement(14934..16200)Merged into SPNCRNA.1701PomBase curators
SPNCRNA.54982113971..2114364Merged into SPNCRNA.1708PomBase curators
SPNCRNA.3791892116..1892775Merged into SPNCRNA.1474PomBase curators
SPNCRNA.14862115592..2117088merged with SPNCRNA.388PomBase curators
SPNCRNA.3421224483..1224560PomBase curators
SPNCRNA.334948994..949948Merged into SPNCRNA.1399PomBase curators
SPRPTCENB.12cnt2.21624515..1627609PomBase curators
SPRPTC.8complement(1738762..1740960)PomBase curators
SPRPTC.7complement(1579527..1581981)PomBase curators
SPRPTC.2615327..616830PomBase curators
SPRPTC.51401219..1403077PomBase curators
SPRPTB.6complement(592650..594176)PomBase curators
SPBC8E4.02cprt24442542..4445970SPBC8E4.02c replaced by SPNCRNA.9001 (prt2)PMID:29414789
SPRPTB.11complement(4019659..4019822)PomBase curators
SPRPTB.12complement(4019846..4019937)PomBase curators
SPNCRNA.1308complement(103165..104528)Merged into SPNCRNA.291PomBase curators
SPNCRNA.1300complement(21060..21754)Merged into SPNCRNA.287PomBase curators
SPNCRNA.1311120577..121643Merged into SPNCRNA.293PomBase curators
SPNCRNA.1372complement(591798..592612)Merged into SPNCRNA.316PomBase curators
SPRPTB.4complement(54135..56795)PomBase curators
SPRPTB.5complement(56925..57077)PomBase curators
SPRPTA.215555691..5556879PomBase curators
SPRPTA.1complement(6360..6755)PomBase curators
SPRPTA.19complement(5538601..5539019)PomBase curators
SPRPTA.27548..12710PomBase curators
SPRPTB.314527..29514PomBase curators
SPRPTB.28062..12662PomBase curators
SPRPTA.225559353..5560691PomBase curators
SPRPTA.235559366..5570144PomBase curators
SPRPTB.164535114..4535276PomBase curators
SPRPTA.245562559..5567158PomBase curators
SPRPTA.25complement(join(5564531..5564853,5565067..5565187,5565247..5565349))PomBase curators
SPRPTA.265568686..5579133PomBase curators
SPRPTB.174535426..4535519PomBase curators
SPRPTA.315829..22113PomBase curators
SPRPTA.420859..29663PomBase curators
SPRPTB.184535640..4539804PomBase curators
SPRPTB.11..6535PomBase curators
SPNCRNA.1380674049..676227Merged into SPNCRNA.322PomBase curators
SPNCRNA.1347complement(360439..363023)Merged into SPNCRNA.304PomBase curators
SPBTRNAASP.031602188..1602260Merged into SPBTRNAARG.06,SPBTRNAASP.05PomBase curators
SPNCRNA.11961431135..1433068merged with SPNCRNA.67PomBase curators
SPNCRNA.12542011026..2012559merged with SPNCRNA.511PomBase curators
SPNCRNA.12912362179..2362725merged with SPNCRNA.519PomBase curators
SPNCRNA.1652complement(3978331..3982106)Merged into SPNCRNA.111PomBase curators
SPNCRNA.548complement(1641873..1642741)Merged into SPCC663.18PomBase curators
SPNCRNA.5312291674..2292604Merged into SPAC4G9.22PomBase curators
SPNCRNA.2213405117..3405938Merged into SPNCRNA.907PomBase curators
SPNCRNA.41prl411652051..1652489Merged into SPBC21B10.14PomBase curators
SPNCRNA.5272830376..2831519Merged into SPAC3F10.19PomBase curators
SPNCRNA.44prl44955413..955760Merged into SPCPB16A4.07PomBase curators
SPNCRNA.476934572..935182Merged into SPCC24B10.19cPomBase curators
SPNCRNA.288complement(61601..62885)Merged into SPBPB21E7.11PomBase curators
SPNCRNA.308501166..501471Merged into SPBC1685.16PomBase curators
SPNCRNA.4183252028..3253686Merged into SPBC25H2.18PomBase curators
SPNCRNA.314578127..578188Merged into SPBC354.12PomBase curators
SPNCRNA.3471385519..1386025Merged into SPBC8D2.15PomBase curators
SPNCRNA.3531546238..1546718Merged into SPBC29B5.01PomBase curators
SPNCRNA.588complement(join(3835571..3835672,3835719..3835910,3835967..3836109))Merged into SPAC4H3.16PomBase curators
SPNCRNA.4223530807..3530914Merged into SPBC1105.14PomBase curators
SPNCRNA.60prl60complement(2005290..2005716)Merged into SPBP23A10.17PomBase curators
SPNCRNA.3813398737..3398938PomBase curators
SPNCRNA.65prl65complement(join(2472399..2472749,2472861..2472897))Merged into SPAC19A8.16PomBase curators
SPNCRNA.5372273953..2274349Merged into SPBC16H5.12cPomBase curators
SPNCRNA.223complement(3534486..3536133)Merged into SPAC16E8.18cPomBase curators
SPNCRNA.542complement(3346551..3347078)Merged into SPBC17D1.17PomBase curators
SPNCRNA.509complement(1966483..1966635)dubious and partially overlapping with Ost5. Merged into SPCC18.19cPomBase curators
SPRRNA.25complement(814799..814896)small fragment of 25S rRNAPomBase curators
SPNCRNA.55prl552416235..2416706Merged into SPAC6B12.18PomBase curators
SPNCRNA.63prl63complement(4008184..4008423)Merged into SPNCRNA.53PomBase curators
SPRRNA.23complement(16412..24810)Merged into SPRRNA.44,SPRRNA.48,SPRRNA.51PomBase curators
SPRRNA.082439540..2447392Merged into SPRRNA.46,SPRRNA.49,SPRRNA.52PomBase curators
SPRRNA.22complement(5542..13722)PomBase curators
SPRRNA.21complement(1..2852)Merged into SPRRNA.42,SPRRNA.43,SPRRNA.47,SPRRNA.50PomBase curators
SPRRNA.092450422..2452883Merged into SPRRNA.45PomBase curators
SPNCRNA.1092090329..2090574part of protein coding gene mergePomBase curators
SPNCRNA.4303892174..3892932Merged into SPBC1604.25PomBase curators
SPNCRNA.470684621..685496Merged into SPCC16C4.22PomBase curators
SPNCRNA.2353790667..3791710Merged into SPAP4C9.02PomBase curators
SPNCRNA.162967652..968379Merged into SPAC222.17PomBase curators
SPNCRNA.245complement(4365732..4366743)Merged into SPAC23D3.17PomBase curators
SPNCRNA.974012418..4012891replaced by short protein coding gene SPAC27E2.14PomBase curators
SPNCRNA.85complement(500805..501224)replaced by protein coding gene SPAC227.19cPomBase curators
SPNCRNA.533complement(62375..63035)PomBase curators
SPNCRNA.48prl48complement(join(3942128..3942364,3942504..3942673,3942775..3942906))replaced by protein coding gene SPAC2F3.18PomBase curators
SPSNORNA.51snR99583416..583605Merged into SPSNORNA.32PomBase curators
SPNCRNA.49prl49complement(4009084..4009282)Merged into SPNCRNA.53PomBase curators
SPNCRNA15complement(1329946..1330660)PomBase curators
SPNCTRNA.252569630..2570056PomBase curators

Protein coding genes removed since publication

Systematic idPrimary nameDate removedCoordinates when removedCommentReference
SPMTR.04mat3-Mc15856..16401PomBase curators
SPMTR.03mat3-Micomplement(15593..15721)PomBase curators
SPAC110.05complement(1905728..1905820)Merged into SPAC110.06PomBase curators
SPBC713.13complement(890220..890546)deleted; ID added as synonym to SPBC713.14cPMID:24929437
SPAPB1A11.052975643..2975771Merged into SPAC31G5.01,SPAPB1A11.06PomBase curators
SPAC823.02join(2583804..2583902,2583941..2583973)deleted; replaced by SPAC823.17 at same locus, but in different framePMID:24929437
SPAC1D4.07ccomplement(649449..649889)not protein-codingPMID:24929437, PMID:26615217
SPAC4H3.12ccomplement(3851914..3852219)not protein-codingPMID:24929437, PMID:26615217
SPAC27E2.134008511..4008693not protein-codingPMID:24929437, PMID:26615217
SPBC36.13complement(845807..846079)not protein-codingPMID:24929437, PMID:26615217
SPCC1672.14complement(563977..564444)not protein-codingPMID:24929437, PMID:26615217
SPCC188.051482007..1482273not protein-codingPMID:24929437, PMID:26615217
SPBC354.11ccomplement(575773..576291)not protein-codingPMID:24929437, PMID:26615217
SPBC32F12.17complement(2805085..2805417)not protein-codingPMID:24929437, PMID:26615217
SPCC417.041673314..1673856not protein-codingPMID:24929437, PMID:26615217
SPCC622.051408164..1408511not protein-codingPMID:24929437, PMID:26615217
SPBC1685.12ccomplement(523887..524240)not protein-codingPMID:24929437, PMID:26615217
SPAC1F8.09ccomplement(96091..96345)annotated in errorPomBase curators
SPAC1F12.03ccomplement(join(3810367..3810458,3810639..3810660))removed; replaced by a nuclear mitochondrial pseudogene (NUMT) featurePomBase curators
SPBC1348.1336892..37188Coordinates updated; now annotated as nuclear mitochondrial pseudogene (SO:0001044). Merged into SPNUMT.1PomBase curators
SPCC18.191982501..1982719Merged into SPCC18.20PomBase curators
SPAC17A2.15join(3569155..3569235,3569383..3569511)was on the reverse strand of the N-terminal extension of SPAC17A2.08PomBase curators
SPAC13F5.08vts1complement(join(2178651..2178887,2179020..2179117,2179380..2179482))Merged into SPAC13F5.04cPomBase curators
SPBPB2B2.044464941..4465474no coding regionPomBase curators
SPBPB2B2.03ccomplement(4462609..4464024)no coding regionPomBase curators
SPBCPT2R1.09ccomplement(4517649..4519024)no coding regionPomBase curators
SPBC11C11.123360974..3361072cob intron fragment currently annotated as pseudogenePomBase curators
SPBC14C8.08ccomplement(2219430..2219978)merged with SPBC14C8.09c; frameshiftedPMID:16823372
SPAC27D7.10ccomplement(4526425..4527576)Merged into SPAC27D7.09cPomBase curators
SPAC6F6.18cmug169complement(2764798..2765163)merged with SPAC6F6.16cPMID:18535244
SPAC1002.21complement(1834875..1835321)was annotated as dubious but based on position in uracil regulatable operon, as this CDS does not appear to be transcribed. t is possible that the localization data is an artifact of the combination of overexpression and hydrophobicity. The protein sequence is also a strange composition, and there is no ortholog in octosporus or japonicus genomes. On balance, taking into account all of the available features and contextual information, it is unlikely that this feature codes for a bona fide protein.PomBase curators
SPAC12D12.09rev7join(2313544..2313574,2313624..2313650,2313694..2313744,2313785..2313897,2313940..2314055,2314104..2314207,2314277..2314476)Merged into SPBC12D12.09PomBase curators
SPAC22E12.15join(5049001..5049055,5049138..5049149,5049253..5049365)previously annotated as dubious but dubious splice prediction; unsupported by Solexa transcript dataPMID:18488015
SPAC8E11.09cjoin(3374696..3374952,3375206..3375404)previously annotated as dubious but no evidence for splicing, and non-canonical splice sites; unsupported by Solexa transcript dataPMID:18488015
SPAC8C9.20join(3663780..3663800,3663885..3663951,3663983..3664076,3664130..3664217)non consensus branch sites, and no coverage with transcriptome dataPomBase curators
SPBC18H10.21ccomplement(join(1811244..1811537,1812093..1812272))alias SPBC9B6.01c; dubious; unsupported by Solexa transcript dataPMID:18488015
SPAC4G8.15ccomplement(join(766607..766720,766810..766836))dubious; unsupported by Solexa transcript dataPMID:18488015
SPCC2H8.03join(830489..830498,830560..830777)dubious; unsupported by Solexa transcript dataPMID:18488015
SPAC22E12.12join(5043251..5043480,5043529..5043589)dubious; unsupported by Solexa transcript data. unsupported by Solexa transcript data and largely overlapping with 3' UTR of rpl24-3PMID:18488015
SPAPB18E9.03ccomplement(join(3981978..3982082,3982179..3982198,3982306..3982315))dubious; unsupported by Solexa transcript dataPMID:18488015
SPAC1250.04atl15098013..5098339PomBase curators
SPCC18B5.12join(741745..741781,741830..742503)Merged into SPCC14G10.01PomBase curators

Pending sequence updates

Individual sequence updates

  • Chromosome III: The reference sequence is missing 4 bp – GATC to be inserted after reference position 17744235. Pers. comm. Nathan Lee (S. Grewal lab), reported 2014-03-31.

Sequence discrepancies from the Broad Institute

As part of a technology development project, the Broad Institute generated 200-fold sequence coverage of the genome of S. pombe strain 972 using Illumina (Solexa) technology. This deep coverage was used to identify discrepancies between the Illumina read data and the current reference assembly of 972, employing a polymorphism discovery algorithm written specifically for Illumina data, and tuned to have a very low false positive call rate. 190 sequence discrepancies were observed, all but two of which were either single base insertions, deletions or substitutions. These discrepancies could be due to sequence errors in the reference 972 assembly, sequence polymorphisms between the two isolates of 972 sequenced, or systematic errors in the Illumina data or analysis. Of the 190 discrepancies, 25 occur in homopolymer runs of at least 7 nucleotides, which are both more likely to produce sequencing errors and inter-strain polymorphisms, and 39 are clustered within 10 nucleotides of another discrepancy, which is more common in cases of mis-alignment of the Illumina reads. Excluding these sites, the discrepancy rate is about 1 in 100,000, which is close to the estimated error rate in published reference sequence.

The data listed here were updated in August 2008; the original coordinates were based on an older assembly and did not match the current assembly of the right arm of Chromosome I. One discrepancy is a known artifact. At nucleotide 1774235 of Chromosome III there is an insertion of GACT caused by an assembly glitch in the published reference, which will be corrected in future releases. In addition, there are several clusters of discrepancies which are suspicious. These discrepancies will be investigated and the discrepancy list updated as appropriate. Beyond that analysis, no validation of other discrepancies is currently planned. However, we welcome any validation efforts by members of the community. If you generate any data pertinent to these discrepancies, or if you have any comments about them, please contact Nick Rhind or Valerie Wood. These data can be cited as follows: “Data were generated at the Broad Institute. Chad Nusbaum, personal communication.”

The data can be downloaded as an Excel spreadsheet

Chromosome Location Left Sample Reference Right Clustered? Homopolymer Confirmed in
I 94353 GTGACAATTGAATTTTTTTT T AAATGTTTCTATATTGTTAA No X
I 101872 GAGGACGGGCGTTGGCGGAG G CAACAGCCTTACCCCAGTCA No PMID:16823372
I 470379 TGTGATAGACAAAAAAAGAC C GTTAAAAGAACCTAAACGAA No
I 470390 AAAAAAGACCGTTAAAAGAA C CTAAACGAATTGTAATCAGA No
I 482738 AGCTATTCGATCCACCGCAG G TTTGTCTGATTTGTTGCCCT No
I 523602 ACAATGATACTTACTCCACA A G CGATTCCATTTTCCAAAGAC No
I 523882 GTTTCAGCCATTGAAAGATA A G CGATCGTTCTCAGACAAAGA No
I 527155 AATCATGGATTTAATACATA A C CTTTTAGTTTGTATGTGATA No
I 554538 GAAGATTTATTTTTTTTTTT T GGAATTTATTCTGCTCGGCC No X
I 670033 AGAGATTATTATTAAGATCA A CCTAAATATCGTAACGTACG No
I 682996 ATAAAACTACTATACTTCCC C GCTGGAGCTTCGGTAGGCCG No PMID:16823372
I 759333 TGTTCACAGTTTTTCCCAAA T G TTGCTTTTTCTTTTGGCTTA No
I 862963 ATTAAATTCTCGAAGTTGCT TT G ATTTTCCAAATCAATTCATG No
I 1048646 ACGGAAAAGAAAAAAAAAAA A TCCGCGTTCAGTAGAAGTCA No X
I 1274804 GTACTTGAAATTATTTTTTA A TAAAGTGAGAACGCCCAGTT No
I 1424708 GTGCTTCATCAGTGACAACC A TTTAGAATGGATCTGTATGT No
I 1625094 ATCAAATAGTCGATGCCTCC C AGCATCTCAATCTTCAATTC No
I 1783457 ACTCTGGGTTCTTCTTATGT T C TGGGACGGTCTTCGGCATAA No
I 1936298 ACTCTTAAATTTTAGGAAAA A GACGCTCTTTTATAGTAAGG No
I 1952317 TATATGTACGTACATATTTT T GCGCACCAGTTAGTTTGCGA No
I 1999191 TTTACCGCTTGACTGTGACC C G TACGACCTAACAATTTATTA No PMID:18088324
I 2104090 AAACTGTTGTAAAAAAATTA T G ATTATCGGTGTATTTATTTA No
I 2104096 TTGTAAAAAAATTAGATTAT A C GGTGTATTTATTTATATTAG Yes - 6
I 2154492 AATTTGTTAAAAAAGGAGTA A GTTTACCTCTCGCTTTATGC No
I 2288241 TCTTCATTGTTATTGTTACG G ATTCGTCACCCAGTGAAGAT No
I 2343704 TGCAAACTCTTTGATCACGA A GTCTACATAATTCTTGAACC No
I 2421577 AGCTAAATATAAGAAAAAAC C GAGAATTATAAGCAAACGTT No
I 2499159 AAAACATCAATTTTTTTTTT T GACAGTAATTATACTAGAAT No X PMID:16823372
I 2506043 AAATAGTGTCACATTGTTTT A T ATATTAAGTATTTTTAATCG No
I 2507463 TTAGGTGTTAAACATAAATA A CTTACGTTTTCATACGCGCA No
I 2588024 AAAGAACAGCAAAAAACAAA A GATAATGACAGAAAAAATAT No
I 2588072 CTGAGAAAGTTGACAAAAAA A TTTTTGGCGAAAGAAAGAAA No X
I 2594264 TAATTTTTAATGAATACTCT T AGGCTTCCTTAAATGTTTTT No
I 2594326 TTAAAGCAGTGTCTTATTAA A CATTGTAAACATCAAAAAGC No
I 2594351 TAAACATCAAAAAGCTTCAT A AACAGATGTAAGAAATTAAT No
I 2594393 AATTAACTTGTGAAGACATT T CGATGTGATTAAAGTATGAA No
I 2605763 TGTAAAAAGCATTTGAAATT A T AAAAAGAAAAAACAAAAAAA No
I 2605862 AACGTACTGAGGATATCGTT T ACCCCTTGCAGAAATATAGA No
I 2607673 ATCCATGTCTGTAATATTTT T GGTTATTAATAAATTGAAAT No
I 2683903 CAAATATCATCAGTGCGATC C AACAGCGGTATTTGTCTGAG No
I 2759872 TATCTTCCCACCGTCGTTTC C TATCGGTAGCATATCCGATT No
I 3111507 TGCGTTTTCTGTCTGTTGTG G A ATGTCTCGCCTGGACTTCTT No
I 3115840 ACAGATAAAGAGAGAAAAGT A C CAAGCGTTTAAGCACCGAAG No
I 3119298 AAAATCTTATTGATTGAAAT A G CAATGCTTCGTAAACAATAC No
I 3125119 TGCCAAACTCTTTTCTTCAT T ATGTTCTGTTGTGCCAAAGA No
I 3178496 TAACTGGCAAATCGGCTCTT T CCCATAAGTAGACGATGATC No
I 3179237 TGCTAAAATACAGTTAGTTA C G TACTTGCTCACTTATATTTG No
I 3197530 AATACTGCTGGAAATACAGG G TTTGGTTCGCAAGGTACTGG No DDJB:LC043101
I 3450130 TTATTATTCCCAGGCACGGG T AAGTTCCAAAAATCGAATAT No
I 3460320 TTTACAAAGTCGGACAATCC C TGGCGGCGGTGTTCTAAAAA No
I 3538415 TAAAGTATCGGAATTACATT T CGTCAAACCAGCGTTTATGA No
I 3538428 TTACATTCGTCAAACCAGCG T TTTATGATAAAAGATCATCC No
I 3538436 GTCAAACCAGCGTTTATGAT A AAAAGATCATCCTATTCTAA Yes - 8
I 3538448 TTTATGATAAAAGATCATCC T TATTCTAATTTTGCTATCGA No
I 3538450 TATGATAAAAGATCATCCTA T TTCTAATTTTGCTATCGATA Yes - 2
I 3538454 ATAAAAGATCATCCTATTCT A AATTTTGCTATCGATAGCCC Yes - 4
I 3538456 AAAAGATCATCCTATTCTAA T TTTTGCTATCGATAGCCCTT Yes - 2
I 3583105 TTATAAATTTATAAATGATA A G AAATAAAGTGCAAGAAGAAT No
I 3665610 CTAGATTTAACTTTGCAACG C TTTCGCAATCGGTGAACAGC No
I 3730377 TGCAACAATTCATTTTTTTT T ACCTAATTTGTTTTCGACAA No X
I 3855791 GGCATTTTTCACGTACAGGT T AGTCGAAACATTATTAAATA No
I 4055068 ATTTAAAAAAAAAAAAAAAA A TTATAAGACATACCCTTTCG No X
I 4276903 TAGAATGTTTTTTTTTTTTT T GAGAATATTATTCACACGCC No X
I 4304172 TCAAACCTATAAACAGGAAA A GATAAACGAAAATAGAATTA No
I 4374343 AGGCTAAGTCTAGGTTGTAG G AAAAATCGTTTAGTCTGTAT No
I 4375420 GTCTGAAGACTTTACCTTCT T A TCTTTTGTGCTCCTATCAAA No
I 4407495 TCTCGTATAAGTTCATCCTG G CGAAGCCGTTGTAGCCTATT No
I 4410193 ATCGACACAGATCGCGGCGG G AAGAAAAAGCAACTGAAGAT No PMID:17035632
I 4431859 ATCGAAACTACGTTGTGAAA A TAACTTAGCAAATATATGGT No
I 4431868 ACGTTGTGAAATAACTTAGC A AAATATATGGTAAATAACAC Yes - 9
I 4442713 TGGAAGCTGATTTTTTGTTA A G TATGTCGTAAGTTACTGTGT No
I 4455162 TAACTAGAAAAAAAAAAAAA A CCAAAGATAAAAAATGAAGT No X
I 4721884 AGTAGGAGTAGAAAAAAAAA A TTTTCAGCGCCTCGTCTCCT No X
I 4764269 TTTGAAAAAAAAAAAAAAAA A TTTCTACATTTCTTTCTTTA No X
I 4919602 GTTTTTTGGGTAAAGATCTA G A AGGGTATATTGCTTTTTTAA No
I 5142628 CTGAGGAAGACGTTCCGAAG G TAAAGTGGAAAACGTTAGAG No
I 5148423 AATAAAACAGTAAAAAAAAA A GATAAAAAGCTGAACAGTAT No X
I 5173097 CACAGATAGCTTTTTTTTTT T AACAGGTACTTTATACATGG No X
I 5368264 AGTATAGTTGGTCTCCCTCC C ATATACGGTTTGGATAAGTT No
I 5368273 GGTCTCCCTCCCATATACGG T TTTGGATAAGTTTCGCCTTG Yes - 9
I 5400079 TACATTTTAGGATCAGCTCA T C AAGTGTCCCTTTTTACAAGA No
II 37049 ATTAATAATATATTTGCTCA T A CCTAGATTTAAAGAATTTAG No
II 128007 TCAGAGCAGTCAATAAAAAA A TAAAAAATCGAACAAAGGAA No X
II 146086 GCCCTCGCTTGTTCCCCCCC C TTATCTTACGAGTATATAGC No X
II 266717 ATTCATGAGATTCGTACACG C A CCTTACCAAGTCTTGCCAGA No
II 266779 TGTTAGGGGTGATATGGGTT A T CGTTTTATCTGGGATCAAGG No
II 276538 GACTTTAATTTATTCATGGA T A CCTGAAGCTGCTCAAACTGC No
II 685727 ATCTCGCTGCTCAAATGTCA A G ATGCTGATTTTGGCTCCAAT No
II 699950 TTTCTTTGAATTTTTTGTTT G T GTATTTTAAATTTATTATCT No
II 699951 TTCTTTGAATTTTTTGTTTT T G TATTTTAAATTTATTATCTT Yes - 1
II 699960 TTTTTTGTTTTGTATTTTAA T A TTTATTATCTTCCTGTCTTT Yes - 9
II 700010 CCTCTATTTTTACAGATTTA A CAAGTTTTCAACTTCGAAAC No
II 700018 TTTACAGATTTAACAAGTTT A T CAACTTCGAAACCCTAGAAA Yes - 8
II 700019 TTACAGATTTAACAAGTTTT T C AACTTCGAAACCCTAGAAAT Yes - 1
II 700020 TACAGATTTAACAAGTTTTC C A ACTTCGAAACCCTAGAAATT Yes - 1
II 700023 AGATTTAACAAGTTTTCAAC A T TCGAAACCCTAGAAATTTTC Yes - 3
II 700027 TTAACAAGTTTTCAACTTCG T A AACCCTAGAAATTTTCATAT Yes - 4
II 700112 CTTTATCAAAAGTTATCATT T A AATTGCCCTGCAACCGATAT No
II 869805 CTCTTCCAAGTCGGGTTCAT C G ATGCACTAATGAATTGTAGA No
II 879032 ACTAGAGAAAGAAAAAAAGT A T ACAGTGGCTGATATTACAAT No
II 888600 AAGAAAACTTTTGGTTATAC C GAAACTTTGTGTGAAATGTA No
II 903106 AGCACAAACAATTCGAACTG T GTGCTAACATCTAATAAAGA No
II 923542 TTTAAAAAAATGACAGACGA A C TTAAACTATGTTTTGAAATT No
II 943553 AGCAAAGAATGAAGCCCTTA A C ATTTTTGGATAGTTTTAAGA No
II 953200 GTCGTTTCGAAGTTTTAGAA G A ATGAAAAAAATTGGGCGTCT No
II 967093 GAATTTCCCTTGACTTTTGA G A GGAAGCCATATCTTCGAGTT No
II 1155902 CTTGCAAAAACAAAAATATA A T ATCCTTTTTTCTGCTGTAAA No
II 1159677 TGAGTTTATTCATGAATTGC C G CGAAAATGAGGGTCCATCCG No
II 1159693 TTGCGCGAAAATGAGGGTCC T A TCCGTTCTCTACGATTCTGG No
II 1163155 GTATATAAGTAAATAAAAAT T AGTATGCTTCTGGTCAACTA No
II 1308626 GTTCGGCGAAGGTTTTTTTT T GCATTGATCAACAGGTGATG No X
II 1672858 GCTTCCGTTTATATACGCGT T C GGACATATAACAATGAACTG No
II 1673001 GATGCTCCACCACCTGAAAC C G TTGATGCGTTCATTAGAGTT No
II 1678692 TTTGCATTGGCAGCGACGTT A T GTATTTGCCGGCAAGCCCAA No
II 1683323 CATTATGGTTGGAAATGATG G T AAACACCGTATACTTAGCTG No
II 1697123 AGACTTGTTAATCATGTTAG T C ACCTATGCTTTAATATAATT No
II 1716317 TACCGAGAAAACTTTCGTCA G A ATTTTATGGGCCTAATAATA No
II 1716319 CCGAGAAAACTTTCGTCAAA G T TTTATGGGCCTAATAATAAT Yes - 2
II 1716325 AAACTTTCGTCAAATTTTAT T G GGCCTAATAATAATCTTATG Yes - 6
II 1784825 GGCCACATGTCATACATTGA A G TACGACTGCAAAGTTGACCT No
II 1849776 TGTCAGAATCATTGTCGAGG A G TTTTGCATATCTCGTAAGCA No
II 1861420 GAAAAGCATAAGAAGTTAAT G TACATAAAAGCACTTTAAAT No
II 1867805 AAAGTACTTATTTTTTTTTT T ACGAATAAAATGTAAAAAAA No X
II 1873781 GTGGTTTGTAATATTCCTAA A CCACCCCATTTTTTTCTGGC No
II 1877305 ACAGCCCGATTTTTTTTTTT T GTCTCAGTAATTCAAGAGAC No X
II 1941966 GATTCACATACCGAAGCGGA T GAAAATTAATAAATCAGAGT No
II 1941982 CGGAGAAAATTAATAAATCA T GAGTTTTAACTCAAAGGAAG No
II 1948954 CGGCGTTGAAGCGATCTTGA A GCGGCCTGGAGTGCGCGAGT No
II 1950052 ATGTCGGCATTGCCAGAAGG G TTTTTGCTAGAGGCATAGCT No
II 1955509 TTCCTTAAAAAAAAAAAAAA A GAAAGAAAATGAAAACTCAA No X
II 1960392 AATTAAATTGTCTAAACGTA G TTCGTTGCTCAAGCTTCCTT No
II 1962418 TAAGAGAGAAAACTCGGTGT A T TATTGGAAAAGTGGTACTAA No
II 1962438 TTATTGGAAAAGTGGTACTA G A CAAGTGTGGGAAGTATGTTT No
II 1962457 AACAAGTGTGGGAAGTATGT A T TGACAGATTCATTACATTAG No
II 1987097 AGCTTCGCATAGACATATAC A C AACGGAACGAATGACACCTG No
II 1987101 TCGCATAGACATATACCAAC G GAACGAATGACACCTGGCAG Yes - 4
II 1987117 CAACGGAACGAATGACACCT G GCAGTGAAAATTCCCTTTAT No
II 2044928 AATTGACTTATCTATTAATT T A ACTTGATTTTTGTTTGTTAG No
II 2049893 GAAACTAGCTCATTATGATT T GAAGTTTGTGCCAGATAAAA No PMID:16823372
II 2053517 AGTGATTTTCTCAAAAAGGC C TCTGCTACCCGTCATATTGT No PMID:16823372
II 2108180 GTAAGATAATAAAGCATAAT A CCAATCTTCTTTGTTTGAAG No PMID:16823372
II 2187407 CATTTTTCTTGGTGGGAAGG A CATCAAAAAAATCCCCCTGG No
II 2219929 AATTGACTGTTTGGCTGTAT T GGTGATATGCTGAAAGCGAA No
II 2228774 AAGACAAGATAAATAATAAG G T TGGAAAAGTATATACCTCTG No
II 2228776 GACAAGATAAATAATAAGTT T G GAAAAGTATATACCTCTGTT Yes - 2
II 2264919 ATAATAAAAACATTTATTTA C A GTTTTATTTTTGAACTTCTA No
II 2293304 ATTTATCACAACGAAAAAAA A CTCGTATCACTATAATTTTT No X
II 2436579 ACCTTGCAGCCAACTACTTC G C TCACCAATTACAACTTCTGC No
II 2444542 GAATAATGCTTCCTACATTG C T TACCGCCTATTTAATTACAA No
II 2592434 CCTAAACATAAAAAAAAAAA A CTTACAATCAATGTATATGG No X
II 2676335 TTTTACCGGTTCTAAAATAT T C CCAAAGACCTGAAACCCCCA No
II 2709415 CGTAGCACAAGGCCGAGAGC C TCTTCTCATAGTGGCTCTTT No pers.
II 2788933 ATATTTTGCTGGATTAAAGC G AAATAACTTTTGCGTCAAAC No
II 2798041 ACATTCATGGATGAAGACCT T GGGAACATGGGAAGGCCTAG No
II 2798514 ATTCAGATGTCATGTTCAAA G AAAAAGATAGACTATCCTAT No
II 2811496 CAGAAAGTACAAAGCAATCA A TACAAGAAGAAGAGAATATC No
II 2938969 AGGCAACTTTTTTTTTTTTT T AAGGGTTGTAGTATTGTTTA No X
II 3006136 GTATTCTATACCTTGGGCAG T A TTCTTCAAGCAATTTGGTCA No
II 3040333 ACTCTAGATCTCCGTCTCCG G CTGCACGCCCTATTTCTCGC No PMID:16823372
II 3619004 CAACCGAGAAGTCCCGGTAG G TTGCGTCTTTGTATATAAAG No
II 3838114 AGACCTCAAAAAAAAAAAAA A GCGAAATGCTAACTTCAAAA No X
II 4122325 ATCGCTGTTAATGGTGCACA C T ATCCACAACGTGATTGGAAC No
II 4254961 TGGCCGGGTTATTCACAAGA A TACCTTTTATCCAGCTTGAC No
II 4400665 CAAATTAAACAATCCAAACC C A TAAATCGTCACCAGTACTAG No
III 227729 TTTCGTGTTCACGAGGAAGA T A CGTTGTTTTTGCACATAATG No
III 240810 TGACCATACCATTGGGATGA A G CCTTACTCTTGATTAGCTCG No
III 284656 AGTATAACTAGCGCAGTAGG A C AAAACAGAAGATTGTATGAG No
III 719956 GTTTAATATATTTAATAAAC C TATTTTATTCTATGTCGAGA No
III 719970 ATAAACCTATTTTATTCTAT T G TCGAGAGAAGATTGAGATGA No
III 719973 AACCTATTTTATTCTATGTC G AGAGAAGATTGAGATGATTA Yes - 3
III 719975 CCTATTTTATTCTATGTCGA A G AGAAGATTGAGATGATTAAT Yes - 2
III 719977 TATTTTATTCTATGTCGAGA A G AAGATTGAGATGATTAATCA Yes - 2
III 719978 ATTTTATTCTATGTCGAGAG T A AGATTGAGATGATTAATCAT Yes - 1
III 719980 TTTATTCTATGTCGAGAGAA T G ATTGAGATGATTAATCATTC Yes - 2
III 719984 TTCTATGTCGAGAGAAGATT T G AGATGATTAATCATTCCCTC Yes - 4
III 719986 CTATGTCGAGAGAAGATTGA T G ATGATTAATCATTCCCTCTA Yes - 2
III 719987 TATGTCGAGAGAAGATTGAG T A TGATTAATCATTCCCTCTAT Yes - 1
III 719989 TGTCGAGAGAAGATTGAGAT T G ATTAATCATTCCCTCTATCT Yes - 2
III 719990 GTCGAGAGAAGATTGAGATG T A TTAATCATTCCCTCTATCTA Yes - 1
III 720000 GATTGAGATGATTAATCATT T C CCTCTATCTATTGATTGTTT No
III 720696 TCCACAATTTTTTTTTTTTT T ACCATCTCCTTTAAATCAAA No X
III 867874 CTTTATTTTACTTTTTTTTT T ATATTTTTTAAAATATATTC No X
III 1016312 TAACAATGAAATAACGAAGC C TTCAGTATAATTAGTTCTAT No
III 1168327 TCATAGCCTTTTATTACTAT C T TGGGAAGTCAATTTTTAGTA No
III 1374937 AGGTTGTTATGTTTCAGACT T A TGATCATTACGGTGATACTG No
III 1685491 GGCCACCACCAAGAAGAAAA A CCAAAGAAAAAGAACAGTCA No
III 1756401 AAACCTTTGATGAAAGTTTA A TAAAGCTGCCAATGTATATA No
III 1765400 TAAATTGCCGTATTATATTG T G TACTATAACGAAATAATTGC No
III 1774235 AACATCTTCCAAGTTCTCAT GATC CTTTAAAGATTCCTCAAGGT No PMID:16823372
III 2381978 AATTTGATGTCTTAAATTTG T G TGGTTTGCTTGAAGGCATAT No

Sequencing status

Note: Many older S. pombe sequence submissions to the DNA databases (International Nucleotide Sequence Database Collaboration databases, i.e. ENA, GenBank, DDBJ) contain one or more errors, and we do not have the resources to maintain past sequences or flag every error in PomBase.

Chromosome 1

Contig Name Region Size
unsequenced to chr1 left telomere 10 ± 2 kb*
c212 sub-telomeric left arm 29,663 bp
Gap <5 kb*
c977 left arm and right arm 5,549,370 bp
unsequenced to chr1 left telomere 18 ± 3 kb*

Chromosome 2

Contig Name Region Size
AB325691 chr2 left arm gap-filling contig 20,000 bp**
Gap 5 ± 5 kb
c1348 sub-telomeric left arm 80,201 bp
Gap 22 ± 5 kb*
pB10D8 left arm to centromeric gap 1,536,269 bp
Gap ~6 kb
pJ5566 right arm from centromeric gap to telomeric repeats 2,923,134 bp

Chromosome 3

Contig Name Region Size
p20C8 left arm from centromeric gap 1,083,348 bp
Gap 25.3 ± 6 kb***
c1676 right arm from centromeric gap 1,369,435 bp

* pers comm. Randy Hyppa and Gerry Smith.

** Sasaki et al. (PMID:18727152)

*** pers comm. Chad Ellermeier and Gerry Smith.

Centromere clone information

Telomere clone information

Mating type region information

Ribosomal DNA information (FAQ)

S. pombe Sequence updates since July 2003

Pending sequence updates

We have a separate page discribing pending sequence updates.

Aug 29 2008 Chromosome 1 cosmid C30 OR c29E6 affecting SPAC29E6.04c/Nnf1

PENDING 2008-08-29

The reference sequence appears to contain an extra ‘G’ at position 4410193 PMID:17035632, also confirmed by Broad sequence; Pers. comm. Aki Hayashi. Reported 2007-05-16

Aug 29 2008 Chromosome 1 cosmid c767 affecting SPAC767.01c/Vps1

PENDING 2007-08-23

At 1999191 in Vps1 TGTGACC[C->G]TACGAC PMID:18088324, also confirmed by Broad sequence; Pers. comm. Isabelle Jourdain. Reported 2005-06-15

Aug 29 2008 Chromosome 2 cosmid c21D10 affecting SPBC21D10.06c/Map4

PENDING 2008-08-29

Map4 in the reference genome contains an array of 5 repeats. In PMID:168571979 repeats are reported. This number is the correct number of repeats and will be updated via an insertion into the contig sequence shortly. Pers. comm. Henar Valdivieso. Reported 2005-06-15

Aug 29 2008 Chromosome 1 cosmid c27D7 misassembly causing duplication of SPAC27D7.09c (SPAC27D7.10c)

PENDING 2008-08-29

An apparent repeat region on chromosome 1 coordinates 4526059..4529095 (cosmid c27D7) is caused by a missassembly and will be removed from the genomic sequence shortly. The CDS feature SPAC27D7.10c within this region is an exact duplication of SPAC27D7.09c and will be merged with this CDS. Pers. comm. Klavs Hansen. Reported 2004-09-01

Jun 2008 GATC in overlap c1450 and c1442 affects SPCC1442.04c

PENDING 2008-08-26

There are 4 bases missing from the sequence AACATCTTCCAAGTTCTCAT GATC CTTTAAAGATTCCTCAAGGT, which will change the C-terminal region slightly. This will be fixed in the next round of corrections.

Jun 2008 197 potential sequence discrepancies from the Broad Institute

PENDING 2008-08-26

Generated as part of a technology development project, using Illumina (Solexa) technology the Broad Institute generated >200-fold sequence coverage of the genome of S. pombe strain 972. These data identified 197 potential discrepancies. The discrepancy rate is about 1 in 100,000, which is close to the estimated error rate in published reference sequence. Further information and data here

Jan 2007 GeneDB moves from Contigs to Chromosomes

Contigs merged into chromosomes: the 4 sequence gaps represented by 100 Ns
(Note: The chromosomes previously made available from the ftp site had 1000 Ns in the gaps)

May 2006 Chromosome 1 cosmid c21E11:

Single base insertion at c21E11 from gagtgca to gagtgGca (in cyp8) base 4257404 in new chromsome file (note reverse strand sequence reported)

May 2004 Chromosome 2 cosmid c646:

Single base transition A->C at c646 from aatggaccAtacccc to aatggaccCtacccc
(Note: This change does not affect sequence coordinates)

Apr 2004 Chromosome 1 cosmid c6B12:

Single base deletion at c6B12 13981 from tgttctgcAtttttcc to tgttctgctttttcc
(Note: This change was not added to the spreadsheet on the ftp site until Jan. 18, 2006)

Jul 2003 Chromosome 1 Gap Filled

Added PCR product SPACPJ113 6900 with overlaps of 504 bp with c1856 and 147bp with p4C9
Joined contigs p4C9 and c977

Genome statistics

Genome Structure and Organisation

Genome Size (sequenced portion, excluding rDNA) 12.57Mbp
Number of Chromosomes 3
Chromosome Size Range 2.45Mbp - 5.58Mbp
Gene Count (protein coding genes on Chr I, II and III) 5118
Gene Count excluding dubious genes (protein coding genes on Chr I, II and III) 5064
Gene Density (genes per Mb) 552.66
Genome GC Content 36.06%
Intergenic Length (mean for protein coding genes) 227.37
Intergenic GC Content (protein coding genes) 28.94%
Mitochondrial Genome Size 19.43kbp
Mitochondrial GC Content 30.09%
Telomeric Located Contig Size 20.00kbp
Telomeric Located Contig GC Content 33.17%

Chromosome (I, II and III) Transcript Breakdown

Feature Type Count Gene Density GC Content (%) Mean Length (bp)
Gene Exon Intron (genes per Mb) Gene Exon (All) Exon (Coding) Intron 5' UTR 3' UTR Gene Exon Intron 5' UTR 3' UTR
rRNA 47 47 0 3.74 45.72 45.72 527.53 527.53
snoRNA 57 58 1 4.53 36.54 36.82 30.36 140.09 131.88 336.00
tRNA 171 197 26 13.60 53.79 54.15 38.56 77.32 65.56 11.77
pseudogene 28 50 22 2.23 38.95 39.25 30.90 1,047.39 565.70 47.36
mRNA (protein_coding) 5118 10425 5307 407.10 37.08 37.39 39.63 29.72 33.24 32.27 2,147.68 1,011.98 83.27 290.05 428.79
ncRNA 1522 1527 5 121.06 35.82 35.82 27.94 1,248.46 1,244.21 49.40
snRNA 5 6 1 0.40 40.03 40.47 34.00 147.40 114.50 50.00

Mitochondrial transcript breakdown

Feature type Count GC content (%) Mean length (bp)
rRNA 2 31.97 2,122.00
mRNA (protein_coding) 11 29.39 1,393.00
tRNA 25 38.75 74.52

Telomeric located contig transcript breakdown

Feature type Count GC content (%) Mean length (bp)
mRNA (protein_coding) 5 38.46 1,428.00

Mating type region

Feature type Count GC content (%) Mean length (bp)
mRNA (protein_coding) 4 35.94 395.75

Release Version: 30th Jan 2017

Telomeres

The fission yeast complete genome sequence currently stops short of the telomeric repeats. See the Sequencing Status page for the current assembly status.

The most proximal anchored cosmids to each telomere are (links to genome browser):

  • Chromosome I left c212 (coordinates 1-29663)
  • Cromosome I right c750 ([5554844-5579133][tel1lr])
  • Chromosome II left c1348 (1-39186)
  • Chromosome II right pT2R1 (4500619-4539800)
  • There are no telomere proximal clones for chromosome III as the unsequenced rDNA blocks occur in between the sequenced portion and the telomeres on both chromosome arms.

Details of all clones used for the assembly, and their order, length and overlap details is provided in a set of spreadsheets available from PomBase.

A contig extending the left arm of Chromosome II was sequenced by Sasaki et al. (PMID:18727152) and will be attached to the assembly in the next round of sequence changes. In the meantime, the contig can be viewed in the PomBase genome browser.

A set of small insert clones (FTP link; also see table) from a telomere plasmid library has been made available by Neal Sugawara. None can be assigned to a chromosome at present.

Plasmid Size of insert Location of telomeric sequence Comments Vector Laboratory Funded by Stage
pNSU28 approx 1kb Lies in pNSU21 pUC19 Hinxton EC finished
pNSU31 approx 1kb Lies in pNSU21 pUC19 Hinxton EC finished
pNSU68 423 bp Internal Contains 195 bp of telomeric DNA and 123 bp from the rDNA pMLC28 Hinxton EC finished
pNSU71 15 kb Terminal pMLC28 Hinxton EC finished
pNSU64* 6.9 kb Terminal pMLC28 Hinxton EC finished
pNSU70 7.1 kb pMLC28 Hinxton EC finished
pNSU77* 12 kb Internal Fusion between telomere sequences (7.1kb) and rDNA sequences (4.9kb) pMLC28 Hinxton EC finished
pNSU21 7.9 kb Terminal pNSU21 and pNSU65 were isolated from the first and second library respectively pMLC28 Hinxton EC finished
pNSU65 8.1 kb Terminal pNSU21 and pNSU65 were isolated from the first and second library respectively pMLC28 Hinxton EC finished

Table notes: “Terminal” refers to the position adjacent to the vector sequences of pMLC12 where the blunt end (SmaI end) ligated to the telomeric sequences. “Internal” means that an S. pombe sequence intervenes between the telomere and vector sequences.

Unmapped genes

Genetic loci not cloned or physically mapped

Locus name Publication(s) Allelic with
ala1    
all1 PMID:24177583  
all2 PMID:24177583  
ani1 PMID:732808  
ani2 PMID:732808 cyh4, tri3
anr1 PMID:1394510  
anr2 PMID:1394510  
anr3 PMID:1394510  
anr4 PMID:1394510  
aro3 PMID:4211223  
ban1 PMID:8187760, PMID:8522609  
ban2 PMID:8522609  
ban3 PMID:8522609  
ban4 PMID:8522609  
ben2 PMID:7003311  
ben3 PMID:7003311  
can2 PMID:18357653  
chr1 PMID:12746851, PMID:15114862  
cps2 PMID:1524835  
cps4 PMID:1524835  
cps6 PMID:1524835  
cps7 PMID:1524835  
cps9 PMID:1524835  
cps10 PMID:1524835, PMID:7882425  
cps11 PMID:1524835  
cps13 PMID:1524835  
cps14 PMID:1524835  
crm2 PMID:2647765  
cyh1 PMID:607151  
cyh2 PMID:1068110  
cyh3 PMID:1068110  
cyh4 PMID:1068110 ani2, tri3
glu1 PMID:7903653  
gps1 PMID:7663020  
gps2 PMID:7663020  
gps3 PMID:7663020  
gps4 PMID:7663020  
git4 PMID:2157626  
hsp1 PMID:7500954  
hus3 PMID:1427071  
hus4 PMID:1427071  
hyd1 PMID:23712692  
ird5 PMID:16377914, PMID:24301766, PMID:26301056  
ird11 PMID:22095476, PMID:22173629, PMID:25117315, PMID:26301056  
ird13 PMID:16377914, PMID:24301766  
ird14 PMID:16377914, PMID:24301766  
mcs3 PMID:11085271, PMID:2474475, PMID:15509866  
mcs5 PMID:2474475  
mis2 PMID:7865880  
mis7 PMID:7865880  
mis8 PMID:7865880  
mis9 PMID:7865880  
mms1 PMID:9153313 mms35
mms8 PMID:9153313  
mms38 PMID:9153313  
mms52 PMID:9153313  
mms57 PMID:9153313  
mms60 PMID:9153313  
orb1 PMID:8187760  
orb8 PMID:8522609  
orb9 PMID:8522609  
orb10 PMID:8522609  
orb12 PMID:8522609  
pet1g    
pld6 PMID:10924454  
pld8 PMID:10924454  
pld9 PMID:10924454  
pld10 PMID:10924454  
pld11 PMID:10924454  
pld12 PMID:10924454  
ptp1 PMID:1644270, PMID:8082169, PMID:8887563, PMID:12058079, PMID:27664110  
ptp2 PMID:1644270, PMID:8082169, PMID:27664110  
ral4 PMID:3071741  
rec50 PMID:1874411  
rec52 PMID:1874411  
rec53 PMID:1874411  
rec54 PMID:1874411  
rec55 PMID:1874411  
rec56 PMID:1874411  
rec58 PMID:1874411  
rec59 PMID:1874411  
rec60 PMID:1874411  
rzl4 PMID:27664110  
rzl5 PMID:27664110  
rzl6 PMID:27664110  
scr1 PMID:9535817  
scr2 PMID:9535817  
SLrsm1 PMID:21046351  
SLrsm2 PMID:21046351  
SLrsm3 PMID:21046351  
SP331 PMID:7937765  
srs1 PMID:9651503  
ste2 PMID:1934121  
ste10 PMID:1934121  
ste15 PMID:8575018  
sts2 PMID:1899230  
sts3 PMID:1899230  
sts4 PMID:1899230  
sts7 PMID:1899230  
sts8 PMID:1899230  
sts9 PMID:1899230  
sts10 PMID:1899230  
sts11 PMID:1899230  
tnr1 PMID:7961415, PMID:1644306  
tnr2 PMID:7961415, PMID:1644306  
tri3 PMID:732808 ani2, cyh4
tri4 PMID:732808  
tri5 PMID:732808  
trs1 PMID:1769544  
uvi18 PMID:8048925  
wtr2 PMID:8913338, PMID:15338055  

Annotation dataset submission

PomBase accepts batch submissions of certain types of data that appear on PomBase gene pages.

To submit any of these data types, please prepare a file in the format indicated, and send it to the helpdesk:

Gene name conflicts

List of gene names that have been used to refer to two (or more) different genes. Resolution of these conflicts is under consideration by the Gene Naming Committee. Upon conflict resolution, the name will become a secondary name for at least one of the genes for which it has been used (a database search will still retrieve all usages). Systematic IDs, and primary names where available, for the conflictingly-named genes are listed in columns 2 and 4.

Conflict Systematic ID Detail Systematic ID Detail Comments
abc1 abc1/SPBC2D10.18 N Bonnefoy, 28 Aug 96 ybt1/SPAC9E9.12c J Davey, 11 Nov 96
ade8 ade8/SPBC14F5.09c ade5/SPCC569.08c mapped ade5 was misnamed as ade8 from its S. cerevisiae ortholog; ade8 is now designated obsolete for SPCC569.08
car1 bsu1/SPAC17A2.01 Jia et al. 1993 car1/SPBP26C9.02c arginase, Van Huffel 1994 sod1 is used for superoxide dismutase (SPAC821.10c) so is a synonym, not a primary name, for SPAC17A2.01
dim1 SPBC336.02 18S rRNA dimethylase, Housen 95 dim1/SPCC16A11.05c U4/U6.U5 snRNP, Berry & Gould 97
gpd1 gpd1SPBC215.05 glycerol-3-p DH, J. Armstrong Oct 90 tdh1/SPBC32F12.11 glyceraldehyde-3-p DH, M. Vai Mar 95 implemented suggestion to make tdh1 primary and gpg1 secondary for SPBC32F12.11
hcs hcs1/SPAC4F8.14c Katayama, Jul 95 SPCC737.07c Add “1” for consistency
krp1 krp1/SPAC22E12.09c klp3/SPAC1834.07 krp1 is a synonym for klp3
mip1 pog1/SPCC24B10.22 DNA pol gamma, Copeland Jan 95 mip1/SPAC57A7.11 WD repeat, Yoshinori Sep 99
pab1 pab1/SPAC227.07c phosphatase, Kinoshita 95, (Yanagida lab) SPAC57A7.04c poly(A) binding, Burd 91
sod2 sod2/SPAC977.10 sodium antiporter, 92 SPAC1486.01 Jeong & Roe, Dec 99
ssp1 ssp1/SPCC297.03 p kinase, Matsusaka Oct 95 ssc1/SPAC664.11 chaperonin, Powell 90
ppa1 ppa1/SPAC823.15 minor serine/threonine protein phosphatase pp2a-1 catalytic subunit, Kinoshita et al. Oct 90 SPAC23C11.05 inorganic pyrophosphatase, Kawasaki et al. Oct 90 ppa1 not published for SPAC23C11.05 so attached as obsolete gene name
ef1a-a, ef1a-b, ef1a-c SPCC794.09c, SPAC23A1.10, SPBC839.15c Elongation factor 1 alphas All old, non-standard names obsoleted. These three kept temporarily to distinguish the three genomic copies. Current conventions need checking (Morimyo paper). (I haven’t been able to identify which is which from this as base differences in the sequenced clones or the genome sequence mean they cannot be mapped unambiguously. Needs investigating; our B and C are identical.) SPAC23A1.10 has standard name tef102.
skp1 skp1/SPBC409.05 gsk3/SPAC1687.15 Agreed that skp1 can be used for SPBC409.05
spp1 spf1/SPCC594.05c spp1/SPAC6B12.10c

Fission yeast gene name registry

The Gene Naming Committee was initiated by Amar Klar, Paul Nurse and Mitsuhiro Yanagida to unify fission yeast gene names for newly defined genes, and resolve gene name conflicts.

Gene name reservation

The gene name registration form will return soon. To reserve a gene name in the meantime, please email the helpdesk and include:

  • Systematic ID
  • Gene name
  • Name description (what the three-letter abbreviation stands for)
  • PubMed ID (if available) for the paper in which the name is first published
  • Any other information

S. pombe gene naming guidelines

How to choose and reserve a gene name; name conflict resolution

Gene Naming Committee members


Historical note: Inventories of reserved gene names and gene name conflicts were maintained in the past, but have not been updated for several years.

S. pombe Gene Naming Committee members

Member Affiliation
Susan Forsburg Molecular and Computational Biology Section, University of Southern California
Olaf Nielsen Department of Biology, University of Copenhagen
Snezhana Oliferenko The Francis Crick Institute & Kings College London
Takashi Toda Hiroshima University
Nancy Walworth Robert Wood Johnson Medical School, Rutgers University, NJ
Yoshinori Watanabe Jiangnan University, China
Valerie Wood PomBase, University of Cambridge
Paul Young Queens University at Kingston, Ontario

Fission yeast gene naming guidelines

Purpose of Reserving Gene Names

To avoid gene naming conflicts, the S. pombeGene Naming Committee accepts reservations for gene names that will be published imminently. This does not guarantee that no one else will use your reserved gene name, but the naming committee will actively discourage alternative usage. If we become aware of a nomenclature conflict, we will attempt to notify all parties.

Guidelines for naming S. pombe genes

  1. The gene name should consist of three italicized lower case letters (the gene symbol) followed by an integer (e.g. rad26). This will not be italicized in the database. (Note that a few historical gene names with four letters, or without an integer, have been grandfathered into the database, but all new standard gene names must conform to the three-letters-plus-integer pattern.)
  2. The gene name registration form will return soon. To reserve a gene name in the meantime, please email the helpdesk and include the gene systematic ID, proposed gene name, name description, the relevant PubMed ID (if available), and any other information.
  3. The 3-letter gene symbol should stand for a description of a phenotype, gene product or gene function. In addition, we strongly prefer that a given gene symbol have only one associated description, i.e., all genes which use a given 3 letter symbol should have a related phenotype, gene product or gene function. If a 3-letter symbol is already in use, it should not be used to describe a different class of genes. Before choosing your gene name, search PomBase for any gene name beginning with the 3-letter symbol, by entering the 3-letter name followed by an asterisk, e.g. “cdc*”. Also check the usage of the 3-letter code in S. cerevisiae at SGD.
  4. Please include your gene name(s) in the abstracts of any relevant papers. This simplifies the task of identifying yeast gene names that are already in use.
  5. At the time of registration, the S. pombe curator will check PubMed, GenBank/EMBL/DDBJ and the Gene Name Registry to ensure the gene name is unique. If your chosen gene name is not unique, you will be contacted and asked to select a new name.
  6. Please check that the reserved gene name is still unique, and that the gene still has no other name used for it, before submitting a publication.
  7. If it is discovered that your gene has been previously named, your gene name would instead become an alias (synonym) for the locus, and it and any associated references will remain searchable and linked to the standard locus name.
  8. If you reserve a gene name prior to publication, and your reserved name is published referring to a different gene before your name usage is published, a compromise specific to the situation will be made. In most cases, you will NOT retain the use of the gene name unless you published the name first (see “Resolution of gene name conflicts” below).
  9. If no conflicts arise, your gene name will become the standard name, and will appear on the gene page and elsewhere in PomBase.

Resolution of gene name conflicts

Gene name conflicts in which multiple names have been used to describe one gene or, conversely, one name has been applied to multiple genes, will be resolved within 12 months. Whenever possible, all interested parties will be involved in the resolution of the conflict. We recognize that each case is unique, and we will choose the most appropriate solution using the following guidelines:

  1. Researcher consensus: In the first instance, if the researchers involved in the name conflict agree to a resolution that satisfies our Gene Naming requirements, this solution will be implemented.
  2. Literature consensus: In the absence of researcher consensus, we will examine the literature for the number of name usages and the number of different research groups utilizing a particular name usage. If there is a very obvious imbalance, we will favour the predominant name usage.
  3. Priority: In the absence of either researcher or literature consensus, we will favour the gene name usage that was first published if this is significantly earlier. However, if papers are published simultaneously (within 3 months), the pre-registered name will become the primary name.
  4. Relevance of the name: In rare cases where none of the above guidelines apply, we may favour a particular name usage that more accurately describes a phenotype, gene product or gene function.

PomBase Data Submission

Gene names

Gene naming guidelines and how to submit a new gene name

Annotation datasets

Data formats and instructions for submitting large sets of GO, phenotype, modification, or gene expression data.

Sequence-linked HTP data

Metadata format and instructions for submitting sequence-linked data to be displayed as a track in the genome browser.

Gene-specific data

To submit information on individual genes, use the Contact Curators link provided on the relevant PomBase gene page